{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6d6475cc",
   "metadata": {},
   "source": [
    "# 机器学习与量化策略\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b749521",
   "metadata": {},
   "source": [
    "https://blog.csdn.net/weixin_46277779/article/details/128442624\n",
    "\n",
    "机器学习在量化投资策略中的应用\n",
    "\n",
    "https://www.ainumeric.com/article/ml_finance.php\n",
    "\n",
    "分层聚类\n",
    "\n",
    "https://medium.com/@orenji.eirl/hierarchical-risk-parity-with-python-and-riskfolio-lib-c0e60b94252e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bc55a7d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import pandas as pd  \n",
    "import talib\n",
    "from datetime import datetime\n",
    "import backtrader as bt\n",
    "import matplotlib.pyplot as plt\n",
    "import akshare as ak\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from scipy.stats import pearsonr, spearmanr\n",
    "%matplotlib inline   \n",
    "\n",
    "#正常显示画图时出现的中文和负号\n",
    "from pylab import mpl\n",
    "\n",
    "mpl.rcParams['font.sans-serif']=['SimHei']\n",
    "mpl.rcParams['axes.unicode_minus']=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "da67f44d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.12.2'"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "93c2e97c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取全量数据\n",
    "def read_hq():\n",
    "    \n",
    "    conn=sqlite3.connect(r'F:\\BaiduNetdiskDownload\\stock_2018_daily\\stock_2018.db')\n",
    "    #stock_daily=pd.read_sql(\"select * from stock_daily\",con=conn)\n",
    "    stock_daily=pd.read_sql(\"select * from stock_daily where 股票代码>'003000.SZ'\",con=conn)\n",
    "\n",
    "    stock_daily.columns=['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close', 'volume',\n",
    "           '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)', '市净率',\n",
    "           '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)', '流通股本(万股)',\n",
    "           '总市值(万元)', '流通市值(万元)']\n",
    "    stock_daily[\"date\"]=stock_daily[\"date\"].astype(\"str\").astype(\"datetime64[ns]\")\n",
    "    stock_daily.set_index(\"date\",inplace=True,drop=False)\n",
    "    stock_daily.index.names = ['date_index']\n",
    "    stock_daily[\"openinterest\"]=0\n",
    "    return stock_daily\n",
    "\n",
    "#从全量数据中抽取个别股票数据\n",
    "def get_data_1(syboml,time,stock_d):\n",
    "    stock=stock_d[stock_d[\"股票代码\"]==syboml][[\"open\",\"high\",\"low\",\"close\",\"volume\",\"openinterest\"]]\n",
    "    stock=pd.concat([stock,time],axis=1).fillna(method=\"bfill\").fillna(method=\"ffill\")\n",
    "    #stock=pd.concat([stock,time],axis=1).fillna(-1)#对每只股票缺失的交易日进行补齐\n",
    "    return stock[[\"open\",\"high\",\"low\",\"close\",\"volume\",\"openinterest\"]]\n",
    "\n",
    "\n",
    "#定义单个交易日中的策略\n",
    "class my_strategy_date_2(bt.Strategy):\n",
    "    #全局设定交易策略的参数\n",
    "    cash_value={}\n",
    "    params = (\n",
    "        (\"sell_d\",{}),(\"buy_d\",{})  # 注意要有逗号！！\n",
    "    )\n",
    "\n",
    "    def __init__(self):\n",
    "        # 初始化交易指令、买卖价格和手续费\n",
    "        self.order = None\n",
    "\n",
    "    #单个交易日中的策略：先比较当天是否在买入或者卖出的日期中，如果在就获取日期对应的股票列表进行买卖操作\n",
    "    def next(self):\n",
    "        # 检查是否持仓 \n",
    "        #print(str(self.datetime.date(0)))\n",
    "        self.cash_value.update({str(self.datetime.date(0)):self.broker.getvalue()})#记录持仓\n",
    "        if str(self.datetime.date(0)) in self.params.sell_d.keys(): # 卖出目标股票\n",
    "            s_list=self.params.sell_d[str(self.datetime.date(0))]\n",
    "            for i in s_list:\n",
    "                self.order_target_percent(target=0,data=i)\n",
    "        if str(self.datetime.date(0)) in self.params.buy_d.keys(): # 买入目标股票\n",
    "            s_list=self.params.buy_d[str(self.datetime.date(0))]\n",
    "            for i in s_list:\n",
    "                self.order_target_percent(target=0.9/len(s_list),data=i)\n",
    "                \n",
    "\n",
    "    # 下面两个函数log与notify_order都是为了在交易过程中输出交易记录和其他信息        \n",
    "    def log(self, txt, dt=None):\n",
    "        ''' 输出日志'''\n",
    "        dt = dt or self.datas[0].datetime.date(0) # 拿现在的日期\n",
    "        print('%s, %s' % (dt.isoformat(), txt))\n",
    "\n",
    "    def notify_order(self, order):\n",
    "        if order.status in [order.Submitted, order.Accepted]:\n",
    "            # Buy/Sell order submitted/accepted to/by broker - Nothing to do\n",
    "            return\n",
    "\n",
    "        # Check if an order has been completed\n",
    "        # Attention: broker could reject order if not enough cash\n",
    "        if order.status in [order.Completed, order.Canceled, order.Margin]:\n",
    "            if order.isbuy():\n",
    "                self.log(f\"\"\"买入{order.data._name}, 成交量{order.executed.size}，成交价{order.executed.price:.2f}\"\"\")\n",
    "            elif order.issell():\n",
    "                self.log(f\"\"\"卖出{order.data._name}, 成交量{order.executed.size}，成交价{order.executed.price:.2f}\"\"\")\n",
    "            self.bar_executed = len(self)\n",
    "\n",
    "        # Write down: no pending order\n",
    "        self.order = None\n",
    "\n",
    "#读入策略并在所有交易日执行\n",
    "def huice_run_num(start,end,buy_date,sell_date,stock_daily_x,stock_list,strategy):\n",
    "\n",
    "    #实例化一个交易程序\n",
    "    cerebro = bt.Cerebro()\n",
    "\n",
    "    #把所有涉及到的股票数据塞入交易程序\n",
    "    time_jy=pd.Series(range(0,len(stock_daily_x.date.unique())),index=stock_daily_x.date.unique()).sort_index()#构建包含所有交易日的序列\n",
    "    for i in stock_list:#逐个输入涉及到的所有股票数据\n",
    "        stock=get_data_1(i,time_jy,stock_daily_x)\n",
    "        data = bt.feeds.PandasData(dataname=stock,fromdate=start,todate=end)           \n",
    "        cerebro.adddata(data,name=i) \n",
    "    \n",
    "    #交易程序读入对应策略\n",
    "    cerebro.addstrategy(strategy,sell_d=sell_date,buy_d=buy_date) \n",
    "    cerebro.broker.setcash(1000000) #定义初始金额\n",
    "    cerebro.broker.setcommission(commission=0.002)#定义佣金\n",
    "\n",
    "\n",
    "    #下面是数据交易完成后的相关评估参数\n",
    "    print(start.date(),end.date())\n",
    "    print('初始资金: %.2f' % cerebro.broker.getvalue())\n",
    "    cerebro.addanalyzer(bt.analyzers.SharpeRatio, _name = 'SharpeRatio')#获得夏普率\n",
    "    cerebro.addanalyzer(bt.analyzers.DrawDown, _name='DW')#获得回撤\n",
    "    results = cerebro.run()\n",
    "    strat = results[0]\n",
    "    print('最终资金: %.2f' % cerebro.broker.getvalue())\n",
    "    print('夏普比率:', strat.analyzers.SharpeRatio.get_analysis())\n",
    "    print('回撤指标:', strat.analyzers.DW.get_analysis())\n",
    "    \n",
    "    return strategy.cash_value #这是累计收益数据，如果需要自己作图可以用这个\n",
    "    #return cerebro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "75ddf175",
   "metadata": {},
   "outputs": [],
   "source": [
    "conn=sqlite3.connect(r'F:\\BaiduNetdiskDownload\\stock_2018_daily\\stock_2018.db')\n",
    "stock_ml=pd.read_sql(\"select * from stock_daily where 股票代码>'003000.SZ' and 交易日期>'20220217'\",con=conn)\n",
    "stock_ml.columns=['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close', 'volume',\n",
    "           '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)', '市净率',\n",
    "           '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)', '流通股本(万股)',\n",
    "           '总市值(万元)', '流通市值(万元)']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c3d8bd1",
   "metadata": {},
   "source": [
    "## 量化策略机器学习的特征工程\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f684627d",
   "metadata": {},
   "source": [
    "### 和财务数据结合的指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "a06971e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>市盈率(静态)</th>\n",
       "      <th>市盈率(TTM)</th>\n",
       "      <th>市盈率(动态)</th>\n",
       "      <th>市净率</th>\n",
       "      <th>市销率</th>\n",
       "      <th>市销率(TTM)</th>\n",
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       "      <th>总股本(万股)</th>\n",
       "      <th>流通股本(万股)</th>\n",
       "      <th>总市值(万元)</th>\n",
       "      <th>流通市值(万元)</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>32.2803</td>\n",
       "      <td>36.8533</td>\n",
       "      <td>33.13</td>\n",
       "      <td>2.4649</td>\n",
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       "      <th>1</th>\n",
       "      <td>32.7485</td>\n",
       "      <td>37.3878</td>\n",
       "      <td>33.61</td>\n",
       "      <td>2.5006</td>\n",
       "      <td>2.9319</td>\n",
       "      <td>2.4533</td>\n",
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       "      <td>123200.0086</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30.6227</td>\n",
       "      <td>34.9608</td>\n",
       "      <td>31.43</td>\n",
       "      <td>2.3383</td>\n",
       "      <td>2.7416</td>\n",
       "      <td>2.2940</td>\n",
       "      <td>1.1300</td>\n",
       "      <td>1.1300</td>\n",
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       "      <td>309582.8463</td>\n",
       "      <td>115202.4810</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30.0153</td>\n",
       "      <td>34.2673</td>\n",
       "      <td>30.81</td>\n",
       "      <td>2.2919</td>\n",
       "      <td>2.6872</td>\n",
       "      <td>2.2485</td>\n",
       "      <td>1.1529</td>\n",
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       "      <td>12792.6796</td>\n",
       "      <td>4760.4331</td>\n",
       "      <td>303442.3601</td>\n",
       "      <td>112917.4731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28.2184</td>\n",
       "      <td>32.2159</td>\n",
       "      <td>28.96</td>\n",
       "      <td>2.1547</td>\n",
       "      <td>2.5263</td>\n",
       "      <td>2.1139</td>\n",
       "      <td>1.2263</td>\n",
       "      <td>1.2263</td>\n",
       "      <td>12792.6796</td>\n",
       "      <td>4760.4331</td>\n",
       "      <td>285276.7551</td>\n",
       "      <td>106157.6581</td>\n",
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       "      <td>18592.2790</td>\n",
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      ],
      "text/plain": [
       "        市盈率(静态)  市盈率(TTM)  市盈率(动态)      市净率      市销率  市销率(TTM)  股息率(%)  \\\n",
       "0       32.2803   36.8533    33.13   2.4649   2.8900    2.4182  1.0720   \n",
       "1       32.7485   37.3878    33.61   2.5006   2.9319    2.4533  1.0567   \n",
       "2       30.6227   34.9608    31.43   2.3383   2.7416    2.2940  1.1300   \n",
       "3       30.0153   34.2673    30.81   2.2919   2.6872    2.2485  1.1529   \n",
       "4       28.2184   32.2159    28.96   2.1547   2.5263    2.1139  1.2263   \n",
       "...         ...       ...      ...      ...      ...       ...     ...   \n",
       "295498      NaN       NaN      NaN  18.0001  66.0434   48.3345     NaN   \n",
       "295499      NaN       NaN      NaN  18.1360  66.5420   48.6994     NaN   \n",
       "295500      NaN       NaN      NaN  18.0865  66.3607   48.5667     NaN   \n",
       "295501      NaN       NaN      NaN  17.7283  65.0462   47.6047     NaN   \n",
       "295502      NaN       NaN      NaN  17.4812  64.1396   46.9412     NaN   \n",
       "\n",
       "        股息率(TTM)(%)     总股本(万股)    流通股本(万股)      总市值(万元)     流通市值(万元)  \n",
       "0            1.0720  12792.6796   4760.4331  326341.2566  121438.6484  \n",
       "1            1.0567  12792.6796   4760.4331  331074.5480  123200.0086  \n",
       "2            1.1300  12792.6796   4760.4331  309582.8463  115202.4810  \n",
       "3            1.1529  12792.6796   4760.4331  303442.3601  112917.4731  \n",
       "4            1.2263  12792.6796   4760.4331  285276.7551  106157.6581  \n",
       "...             ...         ...         ...          ...          ...  \n",
       "295498          NaN  25771.8203  18592.2790  375495.4218  270889.5050  \n",
       "295499          NaN  25771.8203  18592.2790  378330.3220  272934.6557  \n",
       "295500          NaN  25771.8203  18592.2790  377299.4492  272190.9646  \n",
       "295501          NaN  25771.8203  18592.2790  369825.6213  266799.2037  \n",
       "295502          NaN  25771.8203  18592.2790  364671.2572  263080.7479  \n",
       "\n",
       "[295503 rows x 12 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml[['市盈率(静态)', '市盈率(TTM)', '市盈率(动态)', '市净率',\n",
    "           '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)', '流通股本(万股)',\n",
    "           '总市值(万元)', '流通市值(万元)']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d4e45b4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a08a862c",
   "metadata": {},
   "source": [
    "### 行情指标的衍生量及其简单衍生"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "7d5665d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>成交额(千元)</th>\n",
       "      <th>换手率(%)</th>\n",
       "      <th>量比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.6465</td>\n",
       "      <td>34.1911</td>\n",
       "      <td>32.2930</td>\n",
       "      <td>33.3926</td>\n",
       "      <td>82179.77</td>\n",
       "      <td>208401.562</td>\n",
       "      <td>17.2631</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>33.0653</td>\n",
       "      <td>34.2958</td>\n",
       "      <td>33.0653</td>\n",
       "      <td>33.8769</td>\n",
       "      <td>72040.19</td>\n",
       "      <td>186218.296</td>\n",
       "      <td>15.1331</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33.5497</td>\n",
       "      <td>33.8507</td>\n",
       "      <td>31.4814</td>\n",
       "      <td>31.6778</td>\n",
       "      <td>88041.47</td>\n",
       "      <td>216759.706</td>\n",
       "      <td>18.4944</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>32.0181</td>\n",
       "      <td>32.0574</td>\n",
       "      <td>30.8139</td>\n",
       "      <td>31.0495</td>\n",
       "      <td>66636.33</td>\n",
       "      <td>158948.212</td>\n",
       "      <td>13.9980</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>30.9448</td>\n",
       "      <td>31.4553</td>\n",
       "      <td>28.6540</td>\n",
       "      <td>29.1907</td>\n",
       "      <td>83206.15</td>\n",
       "      <td>191270.818</td>\n",
       "      <td>17.4787</td>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295498</th>\n",
       "      <td>6161.7118</td>\n",
       "      <td>6395.8655</td>\n",
       "      <td>6161.7118</td>\n",
       "      <td>6317.8143</td>\n",
       "      <td>9090.62</td>\n",
       "      <td>13245.225</td>\n",
       "      <td>0.4889</td>\n",
       "      <td>0.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295499</th>\n",
       "      <td>6330.8228</td>\n",
       "      <td>6365.5122</td>\n",
       "      <td>6287.4610</td>\n",
       "      <td>6365.5122</td>\n",
       "      <td>4324.41</td>\n",
       "      <td>6313.445</td>\n",
       "      <td>0.2326</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295500</th>\n",
       "      <td>6339.4952</td>\n",
       "      <td>6408.8740</td>\n",
       "      <td>6339.4952</td>\n",
       "      <td>6348.1675</td>\n",
       "      <td>2639.02</td>\n",
       "      <td>3886.946</td>\n",
       "      <td>0.1419</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295501</th>\n",
       "      <td>6326.4866</td>\n",
       "      <td>6391.5293</td>\n",
       "      <td>6183.3927</td>\n",
       "      <td>6222.4183</td>\n",
       "      <td>4853.73</td>\n",
       "      <td>6999.374</td>\n",
       "      <td>0.2611</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295502</th>\n",
       "      <td>6179.0565</td>\n",
       "      <td>6239.7630</td>\n",
       "      <td>6122.6862</td>\n",
       "      <td>6135.6947</td>\n",
       "      <td>3275.49</td>\n",
       "      <td>4667.701</td>\n",
       "      <td>0.1762</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>295503 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             open       high        low      close    volume     成交额(千元)  \\\n",
       "0         32.6465    34.1911    32.2930    33.3926  82179.77  208401.562   \n",
       "1         33.0653    34.2958    33.0653    33.8769  72040.19  186218.296   \n",
       "2         33.5497    33.8507    31.4814    31.6778  88041.47  216759.706   \n",
       "3         32.0181    32.0574    30.8139    31.0495  66636.33  158948.212   \n",
       "4         30.9448    31.4553    28.6540    29.1907  83206.15  191270.818   \n",
       "...           ...        ...        ...        ...       ...         ...   \n",
       "295498  6161.7118  6395.8655  6161.7118  6317.8143   9090.62   13245.225   \n",
       "295499  6330.8228  6365.5122  6287.4610  6365.5122   4324.41    6313.445   \n",
       "295500  6339.4952  6408.8740  6339.4952  6348.1675   2639.02    3886.946   \n",
       "295501  6326.4866  6391.5293  6183.3927  6222.4183   4853.73    6999.374   \n",
       "295502  6179.0565  6239.7630  6122.6862  6135.6947   3275.49    4667.701   \n",
       "\n",
       "         换手率(%)    量比  \n",
       "0       17.2631  0.62  \n",
       "1       15.1331  0.62  \n",
       "2       18.4944  0.86  \n",
       "3       13.9980  0.70  \n",
       "4       17.4787  0.98  \n",
       "...         ...   ...  \n",
       "295498   0.4889  0.98  \n",
       "295499   0.2326  0.48  \n",
       "295500   0.1419  0.31  \n",
       "295501   0.2611  0.65  \n",
       "295502   0.1762  0.53  \n",
       "\n",
       "[295503 rows x 8 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml[['open', 'high', 'low', 'close', 'volume','成交额(千元)', '换手率(%)', '量比',]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "1c067735",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           0.7461\n",
       "1           0.8116\n",
       "2          -1.8719\n",
       "3          -0.9686\n",
       "4          -1.7541\n",
       "            ...   \n",
       "295498    156.1025\n",
       "295499     34.6894\n",
       "295500      8.6723\n",
       "295501   -104.0683\n",
       "295502    -43.3618\n",
       "Length: 295503, dtype: float64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml[\"close\"]-stock_ml[\"open\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "b8a737d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           1.8981\n",
       "1           1.2305\n",
       "2           2.3693\n",
       "3           1.2435\n",
       "4           2.8013\n",
       "            ...   \n",
       "295498    234.1537\n",
       "295499     78.0512\n",
       "295500     69.3788\n",
       "295501    208.1366\n",
       "295502    117.0768\n",
       "Length: 295503, dtype: float64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml[\"high\"]-stock_ml[\"low\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5487ca8",
   "metadata": {},
   "source": [
    "### 基于talib的股价数据衍生\n",
    "\n",
    "* talib\n",
    "\n",
    "TA-Lib，全称“Technical Analysis Library”, 即技术分析库，是Python金融量化的高级库，涵盖了150多种股票、期货交易软件中常用的技术分析指标，如MACD、RSI、KDJ、动量指标、布林带等等。TA-Lib可分为10个子板块：Overlap Studies(重叠指标)，Momentum Indicators(动量指标)，Volume Indicators(交易量指标)，Cycle Indicators(周期指标)，Price Transform(价格变换)，Volatility Indicators(波动率指标)，Pattern Recognition(模式识别)，Statistic Functions(统计函数)，Math Transform(数学变换)和Math Operators(数学运算)，\n",
    "\n",
    "链接：https://www.jianshu.com/p/7ecc7962d638\n",
    "\n",
    "TA-LIB 200多个技术指标含有及计算式:\n",
    "\n",
    "https://blog.csdn.net/MARY197011111/article/details/79622184\n",
    "\n",
    "重叠指标\n",
    "\n",
    "https://www.jianshu.com/p/7ecc7962d638\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "783b4208",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>B</th>\n",
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       "      <th>D</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>foo</td>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bar</td>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>foo</td>\n",
       "      <td>one</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>foo</td>\n",
       "      <td>three</td>\n",
       "      <td>7</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A      B  C    D\n",
       "0  foo    one  1  2.0\n",
       "1  bar    one  5  5.0\n",
       "2  foo    two  5  8.0\n",
       "3  bar  three  2  1.0\n",
       "4  foo    two  5  2.0\n",
       "5  bar    two  5  9.0\n",
       "6  foo    one  6  4.0\n",
       "7  foo  three  7  6.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4937e44a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>A</th>\n",
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       "      <th>C</th>\n",
       "      <th>D</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>foo</td>\n",
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       "      <th>1</th>\n",
       "      <td>bar</td>\n",
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       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>foo</td>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bar</td>\n",
       "      <td>three</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>foo</td>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bar</td>\n",
       "      <td>two</td>\n",
       "      <td>5</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>foo</td>\n",
       "      <td>one</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>foo</td>\n",
       "      <td>three</td>\n",
       "      <td>7</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     A      B  C    D\n",
       "0  foo    one  1  2.0\n",
       "1  bar    one  5  5.0\n",
       "2  foo    two  5  8.0\n",
       "3  bar  three  2  1.0\n",
       "4  foo    two  5  2.0\n",
       "5  bar    two  5  9.0\n",
       "6  foo    one  6  4.0\n",
       "7  foo  three  7  6.0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#group_keys的作用\n",
    "df = pd.DataFrame({\n",
    "    'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],\n",
    "    'B': ['one', 'one', 'two', 'three', 'two', 'two', 'one', 'three'],\n",
    "    'C': [1, 5, 5, 2, 5, 5, 6, 7],\n",
    "    'D': [2.0, 5., 8., 1., 2., 9., 4., 6.]\n",
    "})\n",
    " \n",
    "# 自定义函数，用于计算每个分组的平均C列和D列的和\n",
    "def custom_func(x):\n",
    "    return x\n",
    " \n",
    "# 使用groupby应用自定义函数\n",
    "grouped = df.groupby('A', group_keys=False).apply(custom_func)\n",
    " \n",
    "grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bc3b0481",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_factor(x):\n",
    "    mean_5=talib.SMA(x.close,5)\n",
    "    mean_10=talib.SMA(x.close,10)\n",
    "    \n",
    "    MACDx,MACDy,MACDz=talib.MACD(x.close,fastperiod=12, slowperiod=26, signalperiod=9)\n",
    "    \n",
    "    dong10=talib.MOM(x.close, timeperiod=10)\n",
    "    rsi_6=talib.RSI(x.close, timeperiod=6)\n",
    "    rsi_24=talib.RSI(x.close, timeperiod=24)\n",
    "    up = talib.MAX(x.close, 20)\n",
    "    down = talib.MIN(x.close, 20)\n",
    "    Bupper,Bmiddle,Blower=talib.BBANDS(x.close,matype=talib.MA_Type.T3)\n",
    "    \n",
    "    return_5=x.close.pct_change(5)\n",
    "    return_10=x.close.pct_change(10)\n",
    "    return_10_shift=return_10.shift(-10)\n",
    "    \n",
    "    df=pd.concat([mean_5,mean_10,MACDx,MACDy,MACDz,dong10,rsi_6,rsi_24,up,down,Bupper,Bmiddle,Blower,return_5,return_10,return_10_shift],axis=1)\n",
    "    df.columns=[\"mean_5\",\"mean_10\",\"MACDx\",\"MACDy\",\"MACDz\",\"dong10\",\"rsi_6\",\"rsi_24\",\"up\",\"down\",\"Bupper\",\"Bmiddle\",\"Blower\",\"return_5\",\"return_10\",\"return_10_shift\"]\n",
    "\n",
    "    return df\n",
    "    #mean_10=talib.SMA(x.close,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "49dc6d46",
   "metadata": {},
   "outputs": [],
   "source": [
    "z1=stock_ml.groupby('股票代码', group_keys=False).apply(get_factor)\n",
    "stock_ml_j=stock_ml.join(z1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4f689186",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_ml_j[\"close-o\"]=stock_ml_j[\"close\"]-stock_ml_j[\"open\"]\n",
    "stock_ml_j[\"high-l\"]=stock_ml_j[\"high\"]-stock_ml_j[\"low\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0357c91a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'mean_5', 'mean_10', 'MACDx',\n",
       "       'MACDy', 'MACDz', 'dong10', 'rsi_6', 'rsi_24', 'up', 'down', 'Bupper',\n",
       "       'Bmiddle', 'Blower', 'return_5', 'return_10', 'return_10_shift',\n",
       "       'close-o', 'high-l'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml_j.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ae25f145",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfa4bfbb",
   "metadata": {},
   "source": [
    "### 目标向量的构建"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "697c8ad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_ml_j[\"return_10_shift01\"]=stock_ml_j[\"return_10_shift\"].apply(lambda x:1 if x>0 else 0)\n",
    "stock_ml_j[\"return_10_shift_rank\"]=stock_ml_j.groupby(\"date\").return_10_shift.rank(pct=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6f349d18",
   "metadata": {},
   "outputs": [],
   "source": [
    "s_x=stock_ml_j[['open', 'high', 'low', 'close',\n",
    "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
    "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
    "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'mean_5', 'mean_10', 'MACDx',\n",
    "       'MACDy', 'MACDz', 'dong10', 'rsi_6', 'rsi_24', 'up', 'down', 'Bupper',\n",
    "       'Bmiddle', 'Blower', 'return_5', 'return_10', 'return_10_shift',\n",
    "       'close-o', 'high-l', 'return_10_shift01', 'return_10_shift_rank']].dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6f32ece7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>成交额(千元)</th>\n",
       "      <th>换手率(%)</th>\n",
       "      <th>量比</th>\n",
       "      <th>市盈率(静态)</th>\n",
       "      <th>市盈率(TTM)</th>\n",
       "      <th>...</th>\n",
       "      <th>Bupper</th>\n",
       "      <th>Bmiddle</th>\n",
       "      <th>Blower</th>\n",
       "      <th>return_5</th>\n",
       "      <th>return_10</th>\n",
       "      <th>return_10_shift</th>\n",
       "      <th>close-o</th>\n",
       "      <th>high-l</th>\n",
       "      <th>return_10_shift01</th>\n",
       "      <th>return_10_shift_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>25.4993</td>\n",
       "      <td>27.7246</td>\n",
       "      <td>25.2244</td>\n",
       "      <td>27.7246</td>\n",
       "      <td>34246.31</td>\n",
       "      <td>70810.083</td>\n",
       "      <td>7.1939</td>\n",
       "      <td>1.13</td>\n",
       "      <td>26.8012</td>\n",
       "      <td>30.5979</td>\n",
       "      <td>...</td>\n",
       "      <td>27.649849</td>\n",
       "      <td>25.494994</td>\n",
       "      <td>23.340138</td>\n",
       "      <td>0.083373</td>\n",
       "      <td>0.046958</td>\n",
       "      <td>-0.177525</td>\n",
       "      <td>2.2253</td>\n",
       "      <td>2.5002</td>\n",
       "      <td>0</td>\n",
       "      <td>0.160684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>30.4735</td>\n",
       "      <td>30.4997</td>\n",
       "      <td>28.4838</td>\n",
       "      <td>28.6671</td>\n",
       "      <td>185686.60</td>\n",
       "      <td>423791.505</td>\n",
       "      <td>39.0062</td>\n",
       "      <td>5.86</td>\n",
       "      <td>27.7122</td>\n",
       "      <td>31.6380</td>\n",
       "      <td>...</td>\n",
       "      <td>29.244168</td>\n",
       "      <td>26.047536</td>\n",
       "      <td>22.850903</td>\n",
       "      <td>0.112806</td>\n",
       "      <td>0.095000</td>\n",
       "      <td>-0.232877</td>\n",
       "      <td>-1.8064</td>\n",
       "      <td>2.0159</td>\n",
       "      <td>0</td>\n",
       "      <td>0.124786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>27.4497</td>\n",
       "      <td>28.1435</td>\n",
       "      <td>25.8004</td>\n",
       "      <td>27.7508</td>\n",
       "      <td>124222.99</td>\n",
       "      <td>254010.488</td>\n",
       "      <td>26.0949</td>\n",
       "      <td>1.97</td>\n",
       "      <td>26.8265</td>\n",
       "      <td>30.6268</td>\n",
       "      <td>...</td>\n",
       "      <td>29.422648</td>\n",
       "      <td>26.646001</td>\n",
       "      <td>23.869354</td>\n",
       "      <td>0.131268</td>\n",
       "      <td>0.050546</td>\n",
       "      <td>-0.186323</td>\n",
       "      <td>0.3011</td>\n",
       "      <td>2.3431</td>\n",
       "      <td>0</td>\n",
       "      <td>0.586177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>27.0178</td>\n",
       "      <td>27.0963</td>\n",
       "      <td>25.2375</td>\n",
       "      <td>25.4208</td>\n",
       "      <td>101241.22</td>\n",
       "      <td>200442.507</td>\n",
       "      <td>21.2672</td>\n",
       "      <td>1.26</td>\n",
       "      <td>24.5740</td>\n",
       "      <td>28.0553</td>\n",
       "      <td>...</td>\n",
       "      <td>29.650834</td>\n",
       "      <td>26.879993</td>\n",
       "      <td>24.109152</td>\n",
       "      <td>0.000516</td>\n",
       "      <td>-0.022645</td>\n",
       "      <td>-0.093719</td>\n",
       "      <td>-1.5970</td>\n",
       "      <td>1.8588</td>\n",
       "      <td>0</td>\n",
       "      <td>0.757240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>25.1328</td>\n",
       "      <td>25.9182</td>\n",
       "      <td>24.7401</td>\n",
       "      <td>25.6302</td>\n",
       "      <td>61332.55</td>\n",
       "      <td>118787.745</td>\n",
       "      <td>11.6759</td>\n",
       "      <td>0.65</td>\n",
       "      <td>24.7765</td>\n",
       "      <td>28.2864</td>\n",
       "      <td>...</td>\n",
       "      <td>29.383920</td>\n",
       "      <td>26.817879</td>\n",
       "      <td>24.251839</td>\n",
       "      <td>0.017144</td>\n",
       "      <td>0.021388</td>\n",
       "      <td>-0.146066</td>\n",
       "      <td>0.4974</td>\n",
       "      <td>1.1781</td>\n",
       "      <td>0</td>\n",
       "      <td>0.673765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294513</th>\n",
       "      <td>49.9198</td>\n",
       "      <td>50.0207</td>\n",
       "      <td>49.4958</td>\n",
       "      <td>49.5665</td>\n",
       "      <td>5420.12</td>\n",
       "      <td>26688.831</td>\n",
       "      <td>2.9539</td>\n",
       "      <td>0.97</td>\n",
       "      <td>27.4317</td>\n",
       "      <td>27.0383</td>\n",
       "      <td>...</td>\n",
       "      <td>49.654878</td>\n",
       "      <td>49.017886</td>\n",
       "      <td>48.380893</td>\n",
       "      <td>0.034774</td>\n",
       "      <td>0.027628</td>\n",
       "      <td>0.182280</td>\n",
       "      <td>-0.3533</td>\n",
       "      <td>0.5249</td>\n",
       "      <td>1</td>\n",
       "      <td>0.932965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294514</th>\n",
       "      <td>49.4857</td>\n",
       "      <td>49.8289</td>\n",
       "      <td>49.0516</td>\n",
       "      <td>49.7986</td>\n",
       "      <td>3945.67</td>\n",
       "      <td>19291.242</td>\n",
       "      <td>2.1503</td>\n",
       "      <td>0.74</td>\n",
       "      <td>27.5602</td>\n",
       "      <td>27.1650</td>\n",
       "      <td>...</td>\n",
       "      <td>49.921977</td>\n",
       "      <td>49.331443</td>\n",
       "      <td>48.740910</td>\n",
       "      <td>0.019004</td>\n",
       "      <td>0.032008</td>\n",
       "      <td>0.135213</td>\n",
       "      <td>0.3129</td>\n",
       "      <td>0.7773</td>\n",
       "      <td>1</td>\n",
       "      <td>0.886346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294515</th>\n",
       "      <td>49.7179</td>\n",
       "      <td>50.5961</td>\n",
       "      <td>49.7179</td>\n",
       "      <td>50.5457</td>\n",
       "      <td>6807.55</td>\n",
       "      <td>33943.259</td>\n",
       "      <td>3.7100</td>\n",
       "      <td>1.46</td>\n",
       "      <td>27.9736</td>\n",
       "      <td>27.5725</td>\n",
       "      <td>...</td>\n",
       "      <td>50.456586</td>\n",
       "      <td>49.668023</td>\n",
       "      <td>48.879459</td>\n",
       "      <td>0.033223</td>\n",
       "      <td>0.077469</td>\n",
       "      <td>0.118633</td>\n",
       "      <td>0.8278</td>\n",
       "      <td>0.8782</td>\n",
       "      <td>1</td>\n",
       "      <td>0.878453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294516</th>\n",
       "      <td>50.4750</td>\n",
       "      <td>51.0706</td>\n",
       "      <td>50.3034</td>\n",
       "      <td>50.4750</td>\n",
       "      <td>6385.14</td>\n",
       "      <td>32019.091</td>\n",
       "      <td>3.4798</td>\n",
       "      <td>1.20</td>\n",
       "      <td>27.9345</td>\n",
       "      <td>27.5339</td>\n",
       "      <td>...</td>\n",
       "      <td>50.904120</td>\n",
       "      <td>49.985911</td>\n",
       "      <td>49.067702</td>\n",
       "      <td>0.017709</td>\n",
       "      <td>0.074576</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.7672</td>\n",
       "      <td>1</td>\n",
       "      <td>0.877953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294517</th>\n",
       "      <td>50.4750</td>\n",
       "      <td>50.9798</td>\n",
       "      <td>50.3337</td>\n",
       "      <td>50.9394</td>\n",
       "      <td>6196.36</td>\n",
       "      <td>31089.214</td>\n",
       "      <td>3.3769</td>\n",
       "      <td>1.14</td>\n",
       "      <td>28.1915</td>\n",
       "      <td>27.7872</td>\n",
       "      <td>...</td>\n",
       "      <td>51.316201</td>\n",
       "      <td>50.303032</td>\n",
       "      <td>49.289863</td>\n",
       "      <td>0.030217</td>\n",
       "      <td>0.084463</td>\n",
       "      <td>0.050336</td>\n",
       "      <td>0.4644</td>\n",
       "      <td>0.6461</td>\n",
       "      <td>1</td>\n",
       "      <td>0.850394</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>135425 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           open     high      low    close     volume     成交额(千元)   换手率(%)  \\\n",
       "33      25.4993  27.7246  25.2244  27.7246   34246.31   70810.083   7.1939   \n",
       "34      30.4735  30.4997  28.4838  28.6671  185686.60  423791.505  39.0062   \n",
       "35      27.4497  28.1435  25.8004  27.7508  124222.99  254010.488  26.0949   \n",
       "36      27.0178  27.0963  25.2375  25.4208  101241.22  200442.507  21.2672   \n",
       "37      25.1328  25.9182  24.7401  25.6302   61332.55  118787.745  11.6759   \n",
       "...         ...      ...      ...      ...        ...         ...      ...   \n",
       "294513  49.9198  50.0207  49.4958  49.5665    5420.12   26688.831   2.9539   \n",
       "294514  49.4857  49.8289  49.0516  49.7986    3945.67   19291.242   2.1503   \n",
       "294515  49.7179  50.5961  49.7179  50.5457    6807.55   33943.259   3.7100   \n",
       "294516  50.4750  51.0706  50.3034  50.4750    6385.14   32019.091   3.4798   \n",
       "294517  50.4750  50.9798  50.3337  50.9394    6196.36   31089.214   3.3769   \n",
       "\n",
       "          量比  市盈率(静态)  市盈率(TTM)  ...     Bupper    Bmiddle     Blower  \\\n",
       "33      1.13  26.8012   30.5979  ...  27.649849  25.494994  23.340138   \n",
       "34      5.86  27.7122   31.6380  ...  29.244168  26.047536  22.850903   \n",
       "35      1.97  26.8265   30.6268  ...  29.422648  26.646001  23.869354   \n",
       "36      1.26  24.5740   28.0553  ...  29.650834  26.879993  24.109152   \n",
       "37      0.65  24.7765   28.2864  ...  29.383920  26.817879  24.251839   \n",
       "...      ...      ...       ...  ...        ...        ...        ...   \n",
       "294513  0.97  27.4317   27.0383  ...  49.654878  49.017886  48.380893   \n",
       "294514  0.74  27.5602   27.1650  ...  49.921977  49.331443  48.740910   \n",
       "294515  1.46  27.9736   27.5725  ...  50.456586  49.668023  48.879459   \n",
       "294516  1.20  27.9345   27.5339  ...  50.904120  49.985911  49.067702   \n",
       "294517  1.14  28.1915   27.7872  ...  51.316201  50.303032  49.289863   \n",
       "\n",
       "        return_5  return_10  return_10_shift  close-o  high-l  \\\n",
       "33      0.083373   0.046958        -0.177525   2.2253  2.5002   \n",
       "34      0.112806   0.095000        -0.232877  -1.8064  2.0159   \n",
       "35      0.131268   0.050546        -0.186323   0.3011  2.3431   \n",
       "36      0.000516  -0.022645        -0.093719  -1.5970  1.8588   \n",
       "37      0.017144   0.021388        -0.146066   0.4974  1.1781   \n",
       "...          ...        ...              ...      ...     ...   \n",
       "294513  0.034774   0.027628         0.182280  -0.3533  0.5249   \n",
       "294514  0.019004   0.032008         0.135213   0.3129  0.7773   \n",
       "294515  0.033223   0.077469         0.118633   0.8278  0.8782   \n",
       "294516  0.017709   0.074576         0.080000   0.0000  0.7672   \n",
       "294517  0.030217   0.084463         0.050336   0.4644  0.6461   \n",
       "\n",
       "        return_10_shift01  return_10_shift_rank  \n",
       "33                      0              0.160684  \n",
       "34                      0              0.124786  \n",
       "35                      0              0.586177  \n",
       "36                      0              0.757240  \n",
       "37                      0              0.673765  \n",
       "...                   ...                   ...  \n",
       "294513                  1              0.932965  \n",
       "294514                  1              0.886346  \n",
       "294515                  1              0.878453  \n",
       "294516                  1              0.877953  \n",
       "294517                  1              0.850394  \n",
       "\n",
       "[135425 rows x 40 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "522bc146",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['index', 'date', '股票代码', '股票简称', 'open', 'high', 'low', 'close',\n",
       "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
       "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
       "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'mean_5', 'mean_10', 'MACDx',\n",
       "       'MACDy', 'MACDz', 'dong10', 'rsi_6', 'rsi_24', 'up', 'down', 'Bupper',\n",
       "       'Bmiddle', 'Blower', 'return_5', 'return_10', 'return_10_shift',\n",
       "       'close-o', 'high-l', 'return_10_shift01', 'return_10_shift_rank'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_ml_j.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "875250fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "295503"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(stock_ml_j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b51cc663",
   "metadata": {},
   "outputs": [
    {
     "ename": "IndentationError",
     "evalue": "unexpected indent (4152055964.py, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  Cell \u001b[1;32mIn[12], line 2\u001b[1;36m\u001b[0m\n\u001b[1;33m    'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\u001b[0m\n\u001b[1;37m    ^\u001b[0m\n\u001b[1;31mIndentationError\u001b[0m\u001b[1;31m:\u001b[0m unexpected indent\n"
     ]
    }
   ],
   "source": [
    "#s_x=stock_ml_j[['open', 'high', 'low', 'close',\n",
    "       'volume', '成交额(千元)', '换手率(%)', '量比', '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)',\n",
    "       '市净率', '市销率', '市销率(TTM)', '股息率(%)', '股息率(TTM)(%)', '总股本(万股)',\n",
    "       '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'b_high', 'b_low', 'MACD_x',\n",
    "       'MACD_y', 'MACD_z', 'dong10', 'rsi_6', 'rsi_24', 'up', 'down',\n",
    "       'return_30', 'return_5', 'return_10', 'return_10_shift', 'close-o',\n",
    "       'high-l', 'return_10_shift_01', 'return_10_shift_rank']].dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd3c1787",
   "metadata": {},
   "source": [
    "## 特征分析与可视化\n",
    "\n",
    "https://seaborn.pydata.org/archive/0.11/tutorial.html\n",
    "\n",
    "https://blog.csdn.net/qq_41185868/article/details/114041840\n",
    "\n",
    "https://blog.csdn.net/liujingwei8610/article/details/138870627\n",
    "\n",
    "https://blog.csdn.net/weixin_40787712/article/details/120695112\n",
    "\n",
    "https://zhuanlan.zhihu.com/p/165940283\n",
    "\n",
    "\n",
    "kind: Literal['scatter', 'kde', 'hist', 'hex', 'reg', 'resid'] = \"scatter\n",
    "\n",
    "\n",
    "* 分布特征\n",
    "\n",
    "* 相关性分析\n",
    "\n",
    "p值常见有三个标准一个是0.1，0.05，0.01；\n",
    "\n",
    "p值取值范围是0~1，不包括0和1，通常情况下，一般有三个判断标准一个是0.01、0.05以及0.1。在绝大多数情况下，如果p值小于0.01，则说明至少有99％的把握，如果p值小于0.05（且大于或等于0.01），则说明至少有95％的把握，如果p值小于0.1（且大于或等于0.05），则说明至少有90％的把握。\n",
    "\n",
    "在统计语言表达上，如果p值小于0.01，则称作0.01水平显著，例如，研究人员分析X对Y是否存在影响关系时，如果X对应的p值为0.00（由于小数位精度要求，展示为0.00），则说明X对Y存在影响关系这件事至少有99％的把握，统计语言描述为X在0.01水平上呈现显著性。如果P值小于0.05(且大于或等于0.01)，则称作在0.05水平上显著。\n",
    "\n",
    "r 相关性大小意义：\n",
    "|r|=1时，完全相关；\n",
    "|r|≥0.8时，高度相关；\n",
    "0.5≤|r|＜0.8时，中度相关；\n",
    "0.3≤|r|＜0.5时，低度相关；\n",
    "|r|＜0.3时，基本不相关；"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d908fb9",
   "metadata": {},
   "source": [
    "#### 特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bc58a8dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    135425.000000\n",
       "mean         49.518487\n",
       "std          18.066975\n",
       "min           1.720351\n",
       "25%          35.992658\n",
       "50%          50.074647\n",
       "75%          62.750408\n",
       "max          99.784024\n",
       "Name: rsi_6, dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s_x['rsi_6'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "408da48c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.displot(s_x,x='市盈率(静态)',color='b',kind=\"kde\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a787fbf0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.displot(s_x,x='市盈率(静态)',kde=True,color='b')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8cb1589e",
   "metadata": {},
   "outputs": [],
   "source": [
    "s_x_s=s_x.sample(pct=0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e021a75",
   "metadata": {},
   "source": [
    "#### 相关性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "93569564",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-7.77% (0.00%)\n"
     ]
    },
    {
     "data": {
      "image/png": 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tvQ6PiIiow/D81/Y6bBfYyJEj8dFHH2HYsGFYtGhRzOs88cQTMBgM0v8GDBjQzkdJRETU/nj+a3sdugQGAEeOHMHAgQNRXV2N7OzssMtiRcADBgxgCpCIiLo1nv/aXrsvgW3atAkbN27Eb3/72+ABKIOHIJdHJ6M0Gg00Gk27Hh8REVFH4/mv7bV7AFRQUIA5c+YgPz8f06ZNw3333YfLLrsMBoOhvQ+FiIiIUlS71wDl5OTgn//8J5555hkMGzYMDocDf/vb39r7MIiIiCiFdcgusMsvvxx79uzpiIcmIiIi4jBUIiIiSj0MgIiIiCjlMAAiIiKilMMAiIiIiFIOAyAiIiJKOQyAiIiIKOUwACIiIqKUwwCIiIiIUg4DICIiIko5DICIiIgo5TAAIiIiopTDAIiIiIhSDgMgIiIiSjkMgIiIiCjlMAAiIiKilMMAiIiIiFIOAyAiIiJKOQyAiIiIKOUwACIiIqKUwwCIiIiIUg4DICIiIko5DICIiIgo5TAAIiIiopTDAIiIiIhSDgMgIiIiSjkMgIiIiCjlMAAiIiKilKPs6APoDKwODyx2D2wuLzJ1KpjS1DDo1R19WERERNRGUj4AOl7nxJ1v7ED5fov0u0n5Jjw5dyRysnQdeGRERETUVlJ6Cczq8EQFPwCweb8Fd72xA1aHp4OOjIiIiNpSSgdAFrsnKvgRbd5vgcXOAIiIiKg7SukAyObyJry8PsnlRERE1DWldACUqVUlvDwjyeVERETUNaV0AGRKV2NSvinmZZPyTTClcycYERFRd5Tyu8DunVGIBbVOyGQyfF1VizVbDmLswGw8NXckt8ITERF1UykbAMXa/l6Wb8K7y8uQrVcx+CEiIurGUnIJLN729/L9Fty/flcHHRURERG1l5QMgLj9nYiIKLWlZADE7e9ERESpLSUDIG5/JyIiSm0pGQBx+zsREVFqS8kAyKBX48m5I6OCoEn5Jm5/JyIiSgEpuw0+J0uHlfOKYbF7UO/yIkOrgildzeCHiIgoBaRsAAQEM0EMeIiIiFJPSi6BERERUWpjAEREREQphwEQERERpRwGQERERJRyGAARERFRymEARERERCmnxQHQ//3f/8Hv94f9rry8HD/96U/P+aCIiIiI2lKLA6B58+ahoaEh7HdDhgzBv//973M+KCIiIqK21OxGiFVVVQAAQRBw5MgRZGRkSD9v2LABOTk5rXuERERERK2s2QHQoEGDIJPJIJPJMGLECOn3MpkM+fn5ePHFF1v1AImIiIhaW7MDoEAgAACQy+Wora2FwWBo9YMiIiIiakstrgEaOnQolMqUHiVGREREXVSzIhi/3w+FQgEA2Lt3b5scEBEREVFba1YGqKioCF988QUA4JZbboHb7W6TgyIiIiJqS80KgKqqqpCXlwcAeOGFFxgAERERUZfUrCWwwsJCPPjggxg3bhwEQcDatWuh1+ujrnfddde12gESERERtTaZIAhCU6+8c+dOPPTQQ6iursbmzZsxceLEqEJomUyGTZs2tfqBAoDNZoPBYIDVakVmZmabPAYREVFnw/Nf62tWABRKLpejrq6uXd8I/gEQEVEq4vmv9bV4G/yNN94IjUbTmsdCRERE1C5a3Mjn+eefb83jICIiImo3Lc4AEREREXVVDICIiIgo5TRrCWzKlCnYsGED9Ho9Jk+eDJlMFvN6bbULjIiIiKg1NCsAWrBgAdRqNQBg4cKFbXE8RERERG2uxdvgOwK3ARIRUSri+a/1sQaIiIiIUg4DICIiIko5Le4DtHXrVtx77704cuQIIlfRDhw4cM4HRkRERNRWWhwA/eQnP8HEiRNx7733SoXRRERERF1BiwOguro6PPbYYxg0aFCzb7t+/Xr8/Oc/R1VVFcaMGYNXXnkFhYWFLT0UIiIiomZpcQ3QL37xCzz44IPwer3Nut3333+PRYsW4cknn8SxY8cwcOBALF26tKWHQURERNRszcoALV68WPpvQRCwceNGDBo0CBdeeGHYtrw1a9bEvY+9e/fi8ccfx49+9CMAwM0334wrrriiucdNRERE1GLNCoAGDhwY9vMtt9zS7AecOXNm2M/ffvstzGZzs++HiIiIqKWaFQA98MADrfrgHo8HTz/9NH7+85/HvNztdsPtdks/22y2Vn18IiKizojnv7bX4hqg2tpa3HvvvQCC295nz56NWbNmYe/evU2+j/vuuw/p6em44YYbYl7+xBNPwGAwSP8bMGBASw83KavDg+9P21FRVYvvz9hhdXja7LGIiIgSac/zX6pq8SiM6dOnQ6VSYf369Zg2bRp69uwJuVyO7777Dp9++mnS23/wwQeYO3cutm3bhqKiopjXiRUBDxgwoNVbgR+vc+LON3agfL9F+t2kfBOenDsSOVm6VnscIiKipmiv818qa3EAlJ6ejr1796Jnz57o2bMnTp8+jbq6OpjNZjQ0NCS87YEDBzBhwgT84Q9/wLXXXtvkx2yLWShWhwfLXq8IC35Ek/JNWDmvGAY9+xwREVHH4Syw1tfiPkA9e/bEtm3b4HK5MGrUKOh0OmzevBm9e/dOeDun04mZM2dizpw5mD17Nux2OwAgLS0NMpmspYfTYha7J2bwAwCb91tgsXsYABEREXUzLQ6AHnnkEVx77bVQq9X45z//ic8++wxXXXUVfv/73ye83fvvv4+9e/di7969eOmll6TfHzx4sEVNFc+VzZW4j1F9ksuJiIio6zmnURhXXXUVFAoFtFotampq8L///Q/nnXdewtvNmTMnanZYR8rUqhJenpHkciIiIup6zmkafFpaGrRaLQCgR48eYcHPj370I5w5c+bcjq4dmNLVmJRvinnZpHwTTOlc/iIiIupuzikASuSDDz6A0+lsq7tvNQa9Gk/OHRkVBE3KN+GpuSNZ/0NERNQNtXgJrDvJydJh5bxiWOwe1Lu8yNCqYEpXM/ghIiLqphgANTLoGfAQERGlijZbAiMiIiLqrNosAOqInj5ERERETdFmAVBn2upOREREFKrNaoB27NiBfv36tdXdExEREbVYszNAn3zyCX76059i2LBhyMrKgkajQUZGBgoKCvCzn/1M6v0zYMAAyOUsMSIiIqLOp1kRyjPPPINf/vKXuPrqq/HRRx/h+PHjcDqdOHr0KP785z/jwIEDGD9+vDTfi4iIiKgzatY0+F69euGzzz7DkCFDYl7u8/mQk5ODl19+GTNmzGi1gxRxGi4REaUinv9aX7MyQCaTCevWrYt7+datW2G1WlFYWHjOB0ZERETUVppVBP38889j9uzZeO211zBlyhTk5eVBo9HgzJkz+Oyzz7B161b88Y9/xODBg9vqeImIiIjOWbOWwADAYrHgtddewzfffAObzQalUokePXrgggsuwJVXXgmj0dhWx8oUIBERpSSe/1pfswOgjsQ/ACIiSkU8/7U+7lMnIiKilMMAiIiIiFJOs4qgjUYj6urq4l4uCAJkMhn8fv+5HhcRERFRm2lWALR9+3bMnDkT119/PX74wx+21TERERERtalmBUBmsxkbN27EzJkzMXfuXAwaNKiNDouIiIio7TR7GGpeXh52797dFsdCRERE1C7arAj6Rz/6kTQYlYiIiKgzabMA6IMPPoDT6WyruyciIiJqMW6DJyIiopTDAIiIiIhSDgMgIiIiSjltFgDJZLK2umsiIiKic9JmAVAXmrFKREREKabZfYCaaseOHejXr19b3T0RERFRi7U4A/Tvf/8bgwYNgkKhkP4nl8uhUCgAAAMGDIBczhIjIiIi6nxanAG6+eabsXDhQixduhRqtbo1j4mIiIioTbU4AJLJZLjhhhswZMiQ1jweIiIiojbX4jWqRx99FLfddhssFktrHg8RERFRm2txBui1117D7t27MXDgQBQWFiIzM1O6bNOmTa1ycERERERtocUB0MKFC1vxMDqe1eGBxe6BzeVFpk4FU5oaBj1rm4iIiLqjFgdACxYsaM3j6FDH65y4840dKN9/djlvUr4JT84diZwsXQceGREREbWFFtcAbdiwATU1Na15LB3C6vBEBT8AsHm/BXe9sQNWh6eDjoyIiIjaSosDoGXLlqGioqI1j6VDWOyeqOBHtHm/BRY7AyAiIqLupsUB0PLly/HHP/4Rfr+/NY+n3dlc3oSX1ye5nIiIiLqeFtcAGY1GWCwWjB49GjfddBPS0tKky6677rpWObj2kKlVJbw8I8nlRERE1PW0OAB65ZVXoNFooNFo8H//93/S72UyWZcKgEzpakzKN2FzjGWwSfkmmNK5E4yIiKi7kQldaGy7zWaDwWCA1WoN6zt0ro7XOXHXGzvCgqBJ+SY8NXck+nIXGBERdbC2Ov+lsjabBt+V5GTpsHJeMSx2D+pdXmRoVTClsw8QERFRd9XiAEgul0Mmk8W8rCsWRhv0DHiIiIhSRYsDoIMHD0r/7XA48MUXX+B3v/sdHnvssVY5MCIiIqK20qo1QKdOncLs2bOxbdu21rrLMFwDJSKiVMTzX+trcR+gWDQaDY4dO9aad0lERETU6lq8BDZ58uSwGiC/34/du3fjiiuuaJUDIyIiImorrTYNXiaToX///pg8efK5HhMRERFRm+I0eCIiIko5La4B+s1vfgOvN3xO1qZNm3DxxRef6zERERERtakW7wJTKBSora0Nq0Y/efIkBg8eDIfD0WoHGIpV8ERElIp4/mt9zV4C27x5MwBAEARs3bpVGoIqCALee+89nHfeea17hEREREStrNkBkFj7I5PJcNNNN0EuD66iyeVy5Ofn429/+1vrHiERERFRK2t2ACR2gJbL5di5cydTcURERNTltLgI+vLLL4dKpWrNYyEiIiJqFy3eBr9x40bpvz0eD1QqFQRBkJbEiIiIiDqrFkcr9fX1uOGGG9C7d2/o9Xrs3LkT/fv3x1dffdWax0dERETU6locAC1atAhHjx7FX//6V6SlpcFgMOC2227Drbfe2prH126sDg++P21HRVUtvj9jh9Xh6ehDIiIiojbS4j5AWVlZ2LVrF/r374/s7Gx88803kMvlKCwsRH19fWsfJ4C264NwvM6JO9/YgfL9Ful3k/JNeHLuSORk6VrtcYiIiFqCfYBaX4szQAUFBXj11VcBBLfEy2QyfPbZZxg2bFirHVx7sDo8UcEPAGzeb8Fdb+xgJoiIiKgbanER9MqVKzF9+nQ899xzqK+vx49//GMcPnwYb731VmseX5uz2D1RwY9o834LLHYPDHp1Ox8VERERtaUWB0AXXHABKisrsWHDBhw7dgz9+/fHjBkzYDAYWvP42pzN5U14ea3DA6uDQRAREVF30uIA6LnnnsOcOXNw7bXXtubxtLtMbeJeRlanF7e9XsF6ICIiom6kxTVAzz77LHbs2NGax9IhTOlqTMo3xbysxGxExZE61gMRERF1My0OgFasWIFHH30Udru9NY+n3Rn0ajw5d2RUEFRiNmJRSR7WbAmO/hDrgYiIiKjra/ESWGVlJQKBAPLz83HddddJU+EB4P7772+Vg2svOVk6rJxXjGN1ThyqdkCjlKPiSB2Wv14Bh8cvXa8+Qb2Q1eGBxe6BzeVFpk4FU5q6VeqGWnq/bXU8RERE3UGLA6BDhw5h6NChGDp0KE6fPi39XiaTtcqBtTeDXg2L3YNbXvs67nUy4tQLtVUfoZbeL/saERERJdbiRogdoS0bQVkdHpyud6OqxgGZTIavq2qxZstBKQM0Kd+ElfOKo7IoVocHy16viLmVPt5tmno8LbnftjoeoubqKlnIcz3OrvI8qWtjI8TW1+IMUHcSK2NSYjbi2XnFWP56BcYOzMZTc0fG/FBrqz5CLb1f9jWizqCrZCHP9Ti7yvMkomgpP7o9XiforZXVePXTQ9i4vAwr5xWjb5wPs2R9hBLVDSXS0vttq+Mhaqqu0l39XI+zqzxPIoot5TNAiTIm5fst8AWEhBmTZH2E4tUNJdPS+22r4yEKlWjZp6tkIc/1OLvK8ySi2FI+ADrXjInYR2hznJobU3rLPgBber9tdTxEomTLPl0lC3mux9lVnicRxZbyS2DnmjGJ10doUr4pbt1QU7T0ftvqeIiApi37dJUs5LkeZ1d5nkQUW4dlgKqrqzF27Fh8/PHHGDRoUEcdRsyMiV6twOLSPJQOMcIfCGDfSRscbh8MenXMHR5iHyGL3YN6lxcZWhVM6ee+E6Sl95umVmDFzCLUOb1IVyugVyuRpVcx+KFz1pRln66ShTzX4+wqz5OIYuuQAMhisWDWrFk4dOhQRzx8GDFjctcbO7B5vwV6tQLPzivG2u2Hcf6ALKz8eA+2VlZL14+3w8Ogjx+YtMY2WQEAmtBiKdHyhEHfrIckitKUZZ8hvdLD/k2JOlsWMvLfvqipx3mutyeijtUhfYCmTp2KWbNm4fbbb8fBgwebnAFq6z5AFrsHAUHAw2/vxqjcbFRU1YYFP6Lm9NM5l22yzb1td+0BxD4rncf3p+245PefxL38o19chCG90gGcfd9aMyvaFs71OLvK86SujX2AWl+HZIBefPFFDB48GLfffntHPHxMYgbn+9N2lFdWY2FJHlZtqox53abu8EhWL5EoIGnJbbvjrhT2WelcmrPskygr2pmc63F2ledJROE6pAh68ODBTbqe2+2GzWYL+19bE1P8bl8g4fWassOjKQFJa962u+1KYZ+VzodF9kTtoyPOf6mmU2+Df+KJJ/DQQw+162OKOzs0ysSxYVN2eJxLQNKS23a3XSndMaPVHbRV0T8RndUR579U06m3wd99992wWq3S/44cOdLmjymm+CuO1KHEbIx5nabu8DiXgKQltxWPPZauuCulu2W0uhODXo0hvdJxfm42hvRKZ/DTzqwOD74/bUdFVS2+P2NnNrQb6ojzX6rp1BkgjUYDjUbTro8ppvgfWL8Li0ryACBqF1hTU/3nsk22JbftbrtSultGi6g1sC4uNXTE+S/VdOg0eJlM1ml2gUWyOjyobvDAHxDgDwhwePww6Jqf6j9e54wbkMSbL3aut+0uu1KsDg9ue70ibhDYVXe1EbVUd93pSclxF1jrYwCUhBgI+QICAoKQsCFiovtoaUDSXYKZljqXAJKou2lOGwLqXhgAtb4OXQLrwNirSY7XOXH/+l2YPz4Xa7YcxJYmNEQURfWuSVe36IMp1bfYsuCW6CzWxRG1nk5dA9SRxC3YYwZm4+WI4AcI7kK6840dWBUj5cw1+taV6kEgkYh1cUStp1PvAutI4hbsUrMJ5TG6QQNA+X4LTte7w353Lr1rWmtnB3eIEHVP3W2nJ1FHYgYoDpvLC71agUCSZTqrMzzl3NLeNa2VNWL2iaj76m47PYk6EgOgOHqkqfGPGydAnmQCqV6tCPu5JWv05zIyoy3uh4g6L9bFEbUOBkAxHKt14FitE/VuH4b2zsBrS8fD6vRCq1Lg66parNlyEA6PX2qUeLzOKWVXWrJG31odj9k5mSg1sC6O6NwxAIpwtMaBO/+9AxVVdXh2XjHue3NnWAF0idmIZ+cVY+32w7i+bAj+33enka3XYOzAbNjdPqRrlHjiByPwyIY9cHj8Yfcdb40+MmukVyuwuDQPxQOy4PYF4PH5YXUkD164Q4SIiKhpGACFsDo8uPvfO7C1shrLppjx8taDYV2ggWBXaDlkuHXKEHi8ART0ycTqLQdx9793StcpyzfhrVtL8L2lASqFHF9X1eLbEzY8PHt4zCAmNGukVyvw7LxivLz1YNg0+qbU8XCHCFHzRbWsaGKPr5bejog6hw5thNhcbdkIyurw4ITVhQOWBmhVCmRqlfjhnz+Le/13l5fhv3tO4otDNVFBEhDMFBXnZmPVpkqU5Zvw2FUj4PcHUOeM/rAM7Xi8bIoZFVW1Me8zWadXdk4map6WbhrgZgNqb2yE2Pq4DR7BD7NlaytwxR/LcctrX2PxK19E7e6KZGlwY0Q/Q8xABQhmiooHZAEIbpe/59878EbFMVz13Ke45Hef4LbXK3C8zgng7M6OSfkmFA/IinufYh1PPKH3E4o7RIiitbRlRVNvx3YURJ1byi+BWR0e3PmvHfiqqhbLppiluptemdqEt/P5Bbh9gYTXUSnlWL1gLNy+ALQqBUzpaqmAOnJnlriz47vT9oT3mayOhztEiJqmpZsGkt2uusGDBo+fGSKiTi7lM0Cn6934qqoWq+YX439VtVjy6pe45bWv8f7ukyht3OUVqcRsxNdVtdAoE798SrkMFUfqoFHK4fL60eD2Yd0NE6RC6MiMjkGvRo8kgUpT6ngM+uDYjfNzszGkV3qrBz9t9c22u3xj7i7Po7tr6aaBZLfzB4QWN0MlovaT8hmgOqcXN0waHDXuYs2Wg3h2XjEARM0Ae3j2cNicHhh0wa6ssWpuSs1GpGuUqKiqDStmLjUb8ZcFF2D+S9vg8PijPmTFTq/x6njidXptr4LMtqp96C41Fd3leaSClm4aSHY7f0BgOwqiLiDlM0BpakXMcRcOjx/LX6/A+bnZePdnZXj+J6Px3s/KsHJeMQaZ0jByQDYGmtJi1tyUmU349eUFeObD76LqebZUVuN373+LxaV5AKI/ZBPV8Tw8ezgOVTdEZRWO1zmx7PUKXPL7T2LWGLWWcxnz0RH32966y/NIFS0dK5Hsdg6PL+Hjsh0FUeeQ8hmgNLUS9a7YH1gOjx+rNlWi1GzC69ursLIxI3TgjB2+gICAIMDh9mHFzCKoFXJYnR5oVAq4fQHU2D3YtO9MzPstr7TgZ1Pz8e0JW8wP2cg6Hp1aga+r6jD92XKpt5CYVUhTK9qt+3NbNVrsLg0cu8vzSBUtHSuR7HaR/b8isR0FUeeQ8gFQll4Fh8eHn1+aj8lDewEAXN4AMrRKeHwB1Dm86JmuwYpZhThj9+DJd/fgmvEDo3oEhS5z7D9VD4c38Yeg1enFiplFCT9kDXo1rA4Plr1eETfAeWT28HY76bZVo8Xu0sCxuzyPVNLSTQOJbmd1eFq0jE1E7SvlAyCDXo06hxfjBvXAU+/tCwtqyswmLCodhCc27sWyKfl49qN9KMoxxGyQGJpx6ZWhwZmIKfGx3PfmrqQZmmRZhYYk6fZah6dJXaSboq0aLSa730ydqks0nWMjyq6ppWMl4t2OA0uJuoaUD4CsDg8+/d6CDTtPRAU15ZUWAAJG5Wbjd+9/i1G5WSgekBVW1BxKzLgM6ZWOgUY9Ss3GsAJqUYnZiIojdU3K0CTLKiRLt1udXtz2ekWrFOG2tED7XO730sJeUCvkUVmwzlhY3FavD3U9bEdB1PmlfBG0xe5Br0xt3OaD5Y0NDcsrLRidm52094+4zNEvW48nfzASZRHFkiVmIxaV5GHNloNh148nWVbBoFPFLcgMDbRaowi3rRotJrrfB68chrv/s7NLFBazESWFaut2FER0blI+A2RzeZMGNekaJZ67djT6ZGrg8ia+rkYlx+HqBnh8AdjdPtw3oxBuXwAnrC6pL9Dy1yukzE3oskjkMk+6RgmVXIaphb1Q0DdTatIoTqX/9oQNvTI0MdPtYqC1/PUKAK1XD9Scb7bNWbaKd79drbCY3/yJiLqGlA+AMrUq1DQkziLoNQoseuUbODx+PPGDESgzmxqXx8JNKegJt0/Ao+/sDMsolZqNWFiSh9tCAh8gfFkkVv+YUrMR15cNxh1XFOCht3dH9RN6/KoRjXUIwMp5xThW58Shagc0SnlUoAWczTYlC0ySXd6UmomW9MOJdb8HLA0JH6czFha3tKaEiIjaT8oHQKZ0NT4/VIMSszHmMliZ2YidR61YXJqHVZsq8ciGPVizYCwAIax3UInZiNunnhdVSA0Ee//IIMPKecVSEBS6LBKvf8yWympMH9EXL5UfiHmfoUXUBn0wW3LLa1/Hfa6ZOlXSwKQ1Gvkl64fTnK35LCwmIqK2kPIBkEGvxsTBRuQZ0wAEh5jq1QosLs3DxMFGyOUyOD1+DO9nkOZ4LX71S7y9rBQef3CZy+b0ouJIHSx2T4JaIgtumTwEG24rhUIGOH0BHKl1wuryQg5Z3GWe3pnamIXUQDCgOGlzScFEsiLcNI0Sv/rnN3EDk99ePapVApfWXLZiYTEREbWFlA6AxKWeAASkaxW484oCyGWAVqXEQ2/tCltyKjMb8ey8YmlZqdbhgTFdjeN1Xix59UsAwHPXjk74eDKZDI+/uxdTCnrhnv/skn6/esFYAJACr9Ban2y9Cnq1Iu5ur6O1TvTJ1EpZoETbb+0uX8LApLahdQKX1uyHwy3FzdcVWgYQEXW0lA2AxKWerw7X4saLBuPyYX1wxTPlWDbFjIqq2hhb4qsRAKSlMJvLF1U8nWw4qj8goKBvJs7rnQFTuhrXjMtF8YAspKmVeHnhBTCmq/HMh99FBF6msMArltDAJF4RLgAcTTIawxanI7aoqYFLay9bsbC46TiLjIioaVIyABJrVL46XItn5xXj5a0HMbKfAWX5poR9frZWVmNxSR5KzUYIggCr04s9J2xS/VDFkbq4tUQlZiM+OxDcUm93+bD2+gl4OEZh88KSPGw7UCMFO+WVFggQcMOkwfAFhLDs0EmrE7uOW2FMCw8EIotwxZPiwomDEr4uGVollk0xS0t90Zc3LXBpi2UrFhYn15q1V0RE3V1KBkBijcqyKWapq/O3J+ux7oYLcbg68a4jAFhYkoe+Bi38AvCrf34jTY0PnSAf2VF6QckgLH+9Ak9fPQr9s3V46O3dMQubBZzNMoX+/u5phXh8496o7NCvrhgKrVKOiqrauDu6xJPiqAFZCQO0d3aewN7jVqy7YQIsdg9cXn/YlvumBi7nsmyVqss3rfG8u1rLACKijpSSAZBYoxKa7XF4/FDKgH5JlglysnR4f/dJGLRKfH6oBitmFEIuk+HGSUPQI00Nf0DA3dMK4PMD9W4vFDIZnF4/7nxjBxaX5mFgDz0EhBdbR/b3GZubHXWZAKA4NxsVVXXh2aH3BJyfmy09j8jljtCTYrwATewZdNcbO/Dk3JFRO9lCt9w3VVOXrcQTv93thUGnxoo3d4W1GEiF5ZvWWrbiLDIioqZLyQBIrFERa3hM6WqsWXgBjltd6JmhQZnZGLbFXSRmSSqqajFzZF9Myu+J37y3L2o7/LLJZri8Aby27TDmT8jFnY2BxctbD2LVpko8d+1o6NUKafktNKtTYjbiylF9sWp+MVZvib5s1fxi7DxmxfAcgxQ0mdLV0rJV5HJH6EnR4fFj+esVWFyah7umFeBIjTOsZ9Di0ryYc84it9w3VbJlq9ATf7zaq+6+fMOWAUREHSMlAyCxRkWjlEOvVuAvCy7AU+/tQ0VVHZ6/djRunWxGABHLWPkm3D+zCAcsDRidmw2L3Y0/baqMCpS2VlZDLpPhvhmFuGWyGZv3n8FPJoRPj9co5XGDja2V1fjqcB3e3XE85mVyyDBtRB9p5xkQvUMtdLnDoFNh2RRzVJbpeJ0Lt7z2tZRpWjmvGD0zNEnnnLVWEBJ54m/KjLV4j92Vl83YMqBr6sp/c0QUlJIBkFijsrXSghUzivC794NLPsummPFi+QFUVNVhcWkeFpfkweMPoGe6Bnq1AqdsLqgUcnxdVYuJQ2JniQCgfL8FR2udWPLqlygzm3DvzEI88+F+6fKKI3W4cLAx7gm/V4Ym/n1XWrCwZFDE787uUFuz5SAWl+bB5fPjy0M1MKar8U1VbXSWaWQOTOnqqMxUIq25hBJ54m/qjLVIXX3XE1sGdD1d/W+OiIJSMgACgjUqF+b1gNXlw93/2QkgPAuxalOltEz1hw+/i6qZKR0SewCpSDyhl1dacKw2fPv5mi0HE94+WTAQ6/KtldVYUjoY58/LkgKaeMtKWyur8ciG3Vg1fzRWbtov1SP1z9Zh9YKxYZmi0B1hieaWNfcbcOSJP1kLgVjLN4mWj+58YweevnoUemdqm3xMHYEtA7qWzrjTjtkoopZJ2QAIABp8ftjdZ3vfRAYWiZapbrnYnPC+453QxSWndG38lz5ZMBDvcqVChhc+OTs2I9GyUnllNe6ZUSQFP8/OK8Zv3tsX1nW6JGRpbezAbJjSg2M7TtpcOFrrhEwmk4KksQOzm/UNOPLEn6iFQLzlm0TLR+X7Lfj+tB3+gNCpv5WzZUDX0tl22jEbRdRyic+03ZjV4YHXF0Cm7uyJODKwGJ2bHXe0xWcHqlFmjp3FKTMb0TNDg+euHY01Cy8AAEwt6CkFGhVVtXhv90mUmI0xb3/K5kJZnMtKzEZUHKmLeVm2XhV2vMmXlYLBnxjoRY7c2FpZjZe3HsSKmUV4au5IODx+LFtbgcufKceSV7/E4le+QEVVsJfSl4drcdcbO2B1JB4sKxJP/KI1Ww5iUUle1GuSaPkm2fJRndPbrGOKxerw4PvTdlRU1eL7M/Zzuq9YxGWr0NcC4LJVZ9WZdtoly0a19t8qUXeTshkgi90DnUoBjy8Qt5GhUi6Le/s1Ww5i/a0leHjDnrAPoDKzCbdMNuOaF7dJS0clZiMenTMcXx6sCes79NrSCXhkw+6orEtfgw6LSvNiFmLfcrEZS179Iup4yswmqOThAVyyTFJmYxYqWfPHB2cNg16twLLXK8K2qIuXA2d7FzX1G7BBr8ZTc0fi/313Br0yNHD7AlDIZLhtSj4emFUEh9ufdPkm2fKRRik/p2/l7fXtmstWXUdn2mnX2bJRRF1NygZANpcXWpUC1Q0eLC0djBkj+qKPQYdSswnLJpux9ftqGNPjf5g5PH74BQFLSvOwcOIguH0B5Bh02HvCiiWvfhHWSXlrZTXuf3MXHrpyOB54ew+WTTHj4vN64kSdEytmDkNAEGBzeqHXKHHa5sKv//UNHB4/bpg0GL++rAAef7AhYYZGCaVchomDjfhw32np/kvNRqyYVQSfP5jxEZfZDDoVVi8YG7ZUJR5XWb4JaWoFJuWbkmaKGtw+WGTxB7aKHbKB5n0DFgC8u+NEzL4/5/XOTHr7RMtHoZky8ZgS1UpEXpauUeL+9bvardaDy1ZdQ2faadeZslFEXVHKBkCZWhWqGzzITlPhlM2Nd3eeCMvElJlNmFvcD1MKemLTvjMAwoeVAoAgAMY0NX7cmO1ZvWAsHnlnb8zmhmu2HITL58ef5o/GCasTVqcXbl8Ax+qcOGl1BrM+r3yB4twsaSfP+Lwe+N1/o/sM/fryAvxkwkD4BQH9snQ4YXVi/kvb8NTckbikoCfmjR8Ys7+QWM9TnJuFBRMHYf5ftuPF68YiEBASvlYZWlXSD1sxiIr8Bhwv6JDS95UtDzDE5aPILI3Y2HH56xXSMcXL5jw1dyQEIOqysnwTFkwchE+/r44aC8Jv16mrM+2060zZKKKuKGUDILVSjgytEgq5DGu2RNe/lFdacP9bu/HgrGG4cZIbKoUcGqUcu49bAQRP+CesLpyyufCn+aNx69qv4QsIMZsblpmNePPWEmjkMujVCryz80TY0taUgp749WVD8bcl43DK5kaaWoF/3zwRT23ci1G52VhYkhcWTD370XcoyjFg1aZKlJqNOD83GxZ7MKB44+aJuO8/O+P2EHprWSkOVzfgwbd244Erh+G37+/D7VPPQ6nZGPUaAMEPdqVc1qTC7MhvwImWkJwef6uk73OydHj66lH4/rQddU5vWGNHh8ePSfkmpGuVuPc/OzFqQJaUrRNfyy2VFrz1v+NRgVj5fgsCghA1lkTEb9epq7MsWXambBRRV5SSAZDV4cFDb+3CPTOK4PT4Y574geBJsM7pgd3tg8cfQG4PPfwBAbeFTGYXOz/feNFg5Bh0ePK9vTEnyT/09m7cNiUff2rcdi7SqxWYP34gHn13b1S9z30zivDUe+Hzv6YU9MTtU8+DXCZDUd9MaFUK5PbQYUQ/AwxaJVxef8weQnq1AqNys+D0BgufX7xuLCqqajFqQBae+fA7LCzJk0Z0iErNRtw1rQDTni3H4tK8hHPETte7w74BRxZohmbP9p6woa9Bm3DwalOWrUS9M7XwB4S438odbh+uGZcbu+v2yBw88NbuqMcHwpf2IvHbdWrrDEuWnSkbRdQVpWQAZLF78OG+M7jpYg8SL/4Abm8grOtySUTXZTEgePjKYfAGhLi7xrZWVuOuaQVRwUm8rfbl+y14ZMNunJ+bHbYE99MJg7DrmDWsv80Xh2oxdmA2VHIZvrdED3NNNHbjgZnD8MInB7DtQI3U/NHtC0iZlNM2Nxwef/xBr/kmPDJ7OLL1qrAP3NACzUSPH/pahkq0bBWrCDnRt/LvTtXHbWfwyIbdcbM8QOyddPx23fbaurdNd+md01rZqO7yehA1R0oGQDaXF3q1AmkaJfxJ6l96pKmhVyukE3Tkrifxd16/gONWZ9z7AQC7KzrTkWgH1pbKaiwKyUDceNFgaFXyqCW0MrMJo/ob4PXHfi6J+hmFBgCxjkPsDh06R2xxSbDAOluvjvthG1ozlOjxxctDH1tctvrVP79pVhFyvG/lgQSBaXllNRbGyfIAQJYuPNOT6t+u2+NE2da777pb75xzzUZ1t9eDqKlSMgDK1Kpww6TB+F9VLYb1M6DMbMRXjeMvQouXT1qd2Hm0LuoEvbWyGndeUYALBvaALxCATCZDncOLvgZdwmWdTF30y51sB5bHH5BmeeUa9Xjwrd0xltgsEN7di8evGoHemYga5pqsIWKiACC09sfh8Uv38+YtEzGkV3rc26Vrzj7XZNvsQ5eZxACjwe1rco1QspOyw+OLeT/JTMo3YUivdHz0i4s6fHt6Z/iG3h4nyrbutNwZOzl3JL4elMpSMgAypatxaWFvXP3CZ/jnTRNw/5XDYKl3Y9XHlRHFyyYsKh2EPgYdVjX+TqxlUcpl6Jetw0Nv7QoLNkrjLOuU5ZuQoVFiamEvfLj37Bb2ZMXF/bN1+Pu2w1i1qRJvLSuJm8nYUlmNo7VOfH6oBgtKwnsIJQuy4knUdDFNk/hPR62QSzVDyR4/U6fCv2+eCIPubIBRUVWb8DZijVC8k/LjV42Axx+AtbG9QCL9s3VRxaRiINY7U4sm7MhvU53hG3p7nSjburcNe+eE4+tBqSwlAyAAOGlzNdbwWHDReb3wp48rUVFVFzU5/aTViTEDs6FXK6TJ8b97fx8AxJyztSXGsk6J2YgFEwfh4bf34K7phQAgBUEVR+ri7sAqM5uw97gNxbnZWFySB2eMrFKoOqcXpWYT7C4ffnXZUNw1TQ6b04seaYk/wPpl66IKnMvMRtw9vRDV9R5ccstEKBVy1DZ44A8IOGF1QqNIHLjVOT3S8p1GKQ8rgo5sDyAD4PL6ERAEoLH3pEGXfItvwpPyv3fg/NxsaSZaol1ufTK1nWJXTyyd5Rt6e50o27q3DXvnhOPrQaksJQMgiz3YIl6vVuDCwT0REICvq+riFupeONiIWycPQVl+Tzz1XnBy/MKS+IWzWyqrcfe0QhT1zYzalu32+XHrlHz86rKhqHf7oFcrcFVxPzy4fnfYVuwSsxEPzxmGQxYH1n9zHKs2VWL1grEJn5dGKYfV6Y0q2n5szoiEO7h8PgEPzBoGt88PpyeAQEBAb4MGT7+3D1eNGYA///fbqJqjC4cYceCMHVZn7CWZdI0K817ajsWleeidqcGaBWOxMiLDVmI2Ys2CC3DgjB13vLFT+r2Ywbm0sBc+CMmWhV5uSlcnPCmH1k+FFnCHBkGR9TydIeCJ1BHf0GMtt7XXibKte9s09/47w9JjW2IvIUplKRkA2VxeVBypw30zCmFzeaFSyBMW6t7/1m6smFGIM3ZPk5eVDtc4cMtrX0f9Xqy5ydSpYHN6Ue/yYeexOowZlI2bLh4ChVwGlUIGnUqBmgYPNCo5inOzUVFVh4ojdSgzm6J61gBnl6vEJo2hx//oO3vw68sLAOyLmmq/qCQPFrsbAHDc6sR5vTPg8gd7HP1gzACsibVDrdKC+9/chTGDeuCZD/cDiF6SMaWrMXZgMAOjlMvw1aGauL2JxgzKDvv95v0W3POfnXjiByPg9gXibvE9EGPHWyjxPQot4L5vRhFc3uRjNoDOcfJr72/o8Zbb7p1RmPB2rXWibOveNs25/86w9NjW2EuIUllKDkPN1Kqw7vMqFOdmw+r0IkOjRPGArPg7hfZbAFmw6/PqBWPx3LWjkdtDj2VTzNCrFTFvE6u2R69WYNkUM3pmaGB3+dA7U4tsvQrj83pgSkEv3PXGDgiCgGc++A7Tn92Cuc9/hvkvbZcGjq77vAq/vHwoSiMGhoqBzJ7j1pg1Ox/uPQ2Xx4fi3Gzp+FcvGIvi3Gys3X4Y3xyrQ06WDht3nsAP//wZrlvzOea/tB1alSLh7qlLCntJzz9yAGPokM8R/QwxexMF78eCEf0MUb/fvN8ClzeAlfOK8dEvLsKbt0zER7+4CCvnFaNv48mnKbPARGIBt8vrx/m52RjSKz1hMHO8zollr1fgkt9/gque+xSX/O4T3PZ6BY7XJd7p19ra8xt6ouW2r6vqoga2ilrzRNnWw2Gbev+pMmiUw3gplaVkBsiUrsYvLxuKE1YntCoFlEqgr0GL1QvGRtWnODz+4ElekOGxd3Y3reDZbAoLRPRqBW68aDCmDeuLRzbsjloGWlSSh5c2H8Dfl47Hff/ZGRUsiEHINeNysfTVL7Bm4QW42eWDNaTz8brPq/CzS87Dkle/iFlvk52mRm722W+tMpkMOQYtxuRmY88JK746XIOFJXmYN36g9PyTZR9O29xhtU6RSzJij5LvTtsT3k+8bFq9y5swUGnqLLBQTQkYOkvdDdC+39ATLbc9smEP3l1ehvvX72rzpntt3Wm5KfefSsXBnaWzNVF7S8kACACKc7Pg9PigVcmhUShwxuYMC372HLdi1fxi7DxmxeShvfDIht1RgUlowfOaLQdx40WDcWlhbwgA7C4fJg/thW0HLCjqa8AJqxMPbYjewi7+XJybjWO1zriZkq2V1fj51PNQPCALx+qc6JWhRe9MDb4/04DLinoDAP740Xf47Q9HQYCA1VsixnHkm3DrxUOw+NUvzw5ENRuxtGwwLh/WBw80bq8Xg6cLBxuhUsixZuEFUYNUQ43OzQ4rHPf4/NK347PLR8qo4vLQ+4y3Ey5WsBK5LPXED0bgwbd2h9UKlZqNWBgyC0zU1IChM5382rPbb6KA1+Hxw+b0tNuJsq07LSe7/1QrDu4Mna2J2ltKBkAWuye4BJWhgdsv4O6I2VklZiOWlOahut6Di/J7weH2Y1HpYIzKzY4KBLZUVuPe6YX4QXE/nLa58FiMkRaXD+uDnhlq3POfXTGPZ2tlNe6bUQS7K3G/msgC5zKzEQtK8lBj90jBztTC3ng3olEiEHu2VXllNaaP6Iu/lB+Qgp+mdmwWMyyT8k3IMZztSn3C5sb/jloxxJSGha98AQBYe/0EVFTVxrzP17cfjpmpKTUbka4N//NMtOX97umFsDm9SNMooVHK8fCGPWHvU6wljnj1PZ3t5NeUb+itUa+UbLktTaNKmRMli4OpsxKEZPMLqKlSMgCyuYJbwxs8fjz2zp6w7e++gIAcgw7+gACtUoEah0fKVkwY3APrbpgAi90Dl9cvZTIAYNuB6qgOzUAw8Hjgrd341WVDEx7TQUtD0q3fkcorqyEAYd2ie2dq4842izXbqlemVso6NbVjs7hsd9cbOzBnVE7U8w6dj+b1C/jt+/ti3qcMwONXjcDDb+8Ju6ykMYPT4D4bEIrLUl8drsWyKWaMzs2GUi5DjzQ1ahwe6NUK9MzQ4IG3duPT76uxuDQP88blAgj2+emTqZVO3MmKW8WTX7yt+5nNfJ9aQ6LAo7WKdVkQexZfC+qs/P7E7VCo6VIyAEpTK+H1ByAA+Cpk+7u4XTpyoGmJ2Yg/XzsGxnQVZDIZTOlqODx+qBRy5GbrIJfL0DtTm3AO2D3TE9eb98rQYOv3lrB+NaEnYADI0qujOk1vqazG4tLB0v0k250WeXnoz8k6Nt95RQGKB2RJ2/pXzCjCg2/HX9Z78MphcHkDCdsFHKxuQEFOJuaNzw2bQbb89QqsXTpeuq7F7sFXh2vjZqgWleRh3fbDmD9hID79vjpqtMbKxm3wTanvCTbK7IUfxxigWmo24pqxA2I+n47QmvVKHK55Fl8L6qzk8pTcu9QmUjIAUilkcPsEONw+rJpfDI1SgWvHD8QvLh2Kb0/aUFFVF3b9iqo69MxUo87hxaqPK6OWuMYO6oF0jTJhvUydwxt3C3uZ2QS1Uo5LC3tjxogcnKl3oc7pxYBsPXYcrZOmz+vVCtw3oxD/uHECjtY6oVEGMxIBQZAyWGnqxMcRWW+jVZ3dxRYaDMXKfqgUcuw6bsWaLQcxJjcL5+dm4e7/7EQsWyur4fMLqEuyW0arVMStLwpdZrC5vEkzVMW52Xh5yyHcMGmwtD0fCK/baUp9z5Be6XjwymG4440dMRtd3vOfna1WCH2uS1etXa/UUQWxnaHlQCQWB1NnxAxQ60nJAKjW4UGaVoke6Wo88+F3YYXHZWYjVs0vxrK1Z+tdFpfm4X9VddgQZ4lrxfpdKG7sOhxvwrnbF8Ctk82ADGEnrFKzEQtKBmHxK1/gybkjo07w4v099NZu/Ona0ah3+XCkxiktx3x/uh4/HN0fr8ap27nrjR24ZlxuWBbp55fmQxCAkf2zkKFRYu314/Hp99XQNwZDYi3Q2u2HAQQzQy6vH3UODy4r7I0ZI/ri68O1sLsT1ywdtDREDRONDKwydSq8vawUn+w/hXEDTZDLAbvbjzS1Agp58MRo0KuRqVU1aabYqk2VuGt6Ac7rnRFWbC3W7TS1vsflDcTN6DUlsGjKCb01lq7aol6pvet8OnO/nVSpeaKugzVArSclA6Dsxg+0+9/cFbXrKvizLCyLIAYPiZa4xNqaWBPOS8xG6US87oYJWDhxEACgT6YWH+w9JTXpi5fd0CjlWL3ggqhdZCVmI359eQEejrFDLdhkEPjHDRdi+8HqsCzS6gVj8dzHlWFZklKzEVMLe2NKQU8U5RiwdvthzB8/MOYS0D3TC3HC5kL/bH3C13lADz1O21y4pKAnPtp3Jm6RdanZiEfnjMCjG3bjw31npN+XmY14YNYwfH/GjgytKixbFYuYwTpcfbYJpRgIinU7TS1utbu9CXeuJQosmnJCT7R0decbO7BiZhEUclnSTEhXL9btTC0HiCi1pGQA5PULCEBI2JzvZ1Pz8eLmA1hcmoeeGRo0uBOnHUOXj7ZWVuP60sFYNsWMCwcboZDJ4PT6gdLgDLIb/voVgODJuTg3Gw6PP2F2oyjHgEfibKGX41uMys3CppDA4ezzqEatw4MP956SslKLS/OilvGA4NKODN/i4dnDcMLqAoCYAdmWymo88e4+/PqKodi07zTK8k0xl2BKzEa8v/skKqpqcf/MYZBBhoKczLj3ueLNXXjwymG4dYoXNqcPXxyuwZotB/HA27ul7FpoTVAs4vJe6DKf2G36ibkj8O1JGwQBcY85tLjVoFNH7VybUtBTKoL3BgR8f8YeFaA09YSeaOmqfL8FR2udWPzKF0kzIV29WLelS3itsWTWGZfdiJLx+/0QBAEymayjD6XLS8kAqMHjg9efOI0YEISwbMUrCy9oci8bvVqB/j30WL3lQNSy1A+K+0lzrEIzR4mKlxMFR+WVFiwsGRT3tv6AgBvKhkAAsHJeMRQyWcL7OljtgF6lSPqYd2AoRvXPwoS8HggIQswRG+Iy4MMbduOBWcPgCwgJ7/NQdQPWbD0odbWWgrbG1+jTA9Vxh5qK2/JLGrtkRza1PFLjQIPHj7ve2IEn546EIAhh91NqNuLxq0bAoFfD6vBgxZu7wp6TXq3A/PEDpVlwosgApakn9GRLV+Lw3WSZkK5erNuSJbzWWDLrzMtuRIksWfMp/vOrmVCpOnd2tytIyQBIr1bAFxDCfo4s+O2docULnwSzD9eXDUaaRomJQ4z49PtqKegRl1fWba/CzmNW6f4Wl+bhobeil9e2VlbjgfW78NTckVI/HzHwidcMMPQ6LblcIZfB6vTC7QsgW69Cn0ytFIDFel2MaWqolXIIQMJiaqc3gL9sOYCKqjosLs3DXdMKcKTGGTX8VXzebp8fdlfyLFpYQfPWg1hcmic9P3GXnlalQEHfTOn9ytKrkK5R4vn/V4kHZg3Dkxv3hmXESsxGzBrZFy+V78M143KlTNgtF5shl8vQ4Pah4kgdPP7g41jsnqhi9XhLlJEBSlNO6FaHB7oky3n+wNmeTclqjrpysW5LhpOe65JZey27McNEbcHn8cLn80GpVDILdI5SLgCyOjzYcdSKsQOzg1mDOFPg110/HvNi1MCUmI1Ye/0E1DV44PAGa2rumV6I9/ackK5z4WBjgkxHNe6YViD9PKCHDs9dOxq9MrQoMxvxVWNAERqM9UjyoRmvf1CZ2YTvTtWHNWAsNRvxlwUXYP5L28KCGr1agVXzi/H0+/vCArd4Rd2ZWqW0W06lkMHpCcQc/ipyegIw6Js2uyu0oDm0b5GjMYPzjxsvxIPrd4W9xlMLe+He6YU4ZXPjh2MG4CcTBknB29bKajy6YS9G5WaheECWNBds1aZKvPezMix+5Qs4PH5MLegFIHZWIlFGLDRASdck/ielUyuw7PUKjBqQlXCw7WcHqsMG24ZmQuKdWLviybW5S3itseutPTp9M8NEbUUAMO/5zfjnbVOYBTpHKRcAWewenK53QQbgtin5OHDGHvObvUalwMoYtTJi3c0dVxTgyz0nG7eEZ2PFzCKs2vQ9xuRmQSFPHJWLmZBLCnritM0NjVKOo3UO3D29EFqlAqfqXbC5fBiQrYfb54dCHr9updRsRL8sXdTlZWYjbplsxpJXvwi7vljrE1qkDTRmOLYcjDuHLPT6pWYj6pxerJpfDKVMDpVSBq8/fAv9DZMGo9Rsgs8vIE2jQJpaCafXl3QJ6+x9BLfzm9LV+Pjbs2MurhmXiwfXh2fX9GoFrhmXi/vW74q5g2756xXSUmFktuxYnVN6bmK2IVZWwhcQEi6B1jo8+P6MHV8eqkGJ2RizYH5SvglfV9WhfL8FXx2uxX9umYiHN+yJu3z49NWjpN+Lx5bsxNrVsg6JlvAev2oEqhs8OGBpkJ6Lw9Py4nRRW3f6ZmE3tTWvy8XdYK0g5QIgm8uLsvyeqHV60DdTC61SEXNEhVIhSzAJ3YIldjdys3V4a1mJdAL8zy0ToZDLIJfJoFcrYva2AYAMrRKXFPTEHVcU4uGI4uZLCnri9qlDka5VorreDWO6Bh6/H7dONuPmi4eELcGVmU341eVD8dPV2/HyogtwuNoBty+A/o1DT695cVvMYyivtODmi4eEBUATE2StQmuVxC7NLo8fL285iFunmLFyUyWKc89m1FbNL8bLWw6G7TIrMRuxfEo+Hp0zHPe9uSssCAo96YscHh+WvPolyvJNWFQySHo9Y2XXmtrBWmy0GKl4QFZYtiEyK6FXK5BnTMM/vqiSru/y+jFxiBGXFfXG4saRH/ev3yVlFEMfHwie0B+ePRzTny1vfH5+nKhzoTg3G4tL8sKaQN71xg4sLs2TsoPZehXStcqkJ9YnfjACd/17Z5fLOsRawtOq5Hjgrd34MGTGm/ga7jlujTuqpSm73tp651xohinW8nqdw8sAiM4Zi6HPXcoFQJlaFRo8Phh0apy0OaO6aprS1Xhq7ki4PPHravRqBXKytdA0fkiHNUY0m3D39AK8cdOFOFzjRM8MDVQKGU5YXVAp5DhldcKgVeKnEwZFBT96tQLzxg/Eb97bK3WojuxKXWY2Yf2tJThW68SXVbWY17iUddzqwitbD+Grqlr848YJOFLjjBuAAYBaKcfGn5XB5vTCoFehJkZNUPhzVmL1grFSfc/TV4+SlvO2VlZLJ/4ZI1xYs+VgVJZHfA5zRvXDI7OHw+0P4FitEwCiaoZCs0Hl+y2AIGDdDRNwpt6NLL0qqht25PJU5Eknt4ceSrkMeSY9Gtx+PHftaGhVCpy0OrHruBXDcwxhBcORWYnFpXl46r29cdsC/HXxuLBCcLHGKDSwMfdMhycQwMp5xdKJ0C8IUTvN4rUKEE/+Xx2ujfn+bN5vweFqR5fNOoQu4VkdHix7vSLmc7nvzZ04Pzc7rMZLfN1XzCxq0q63tt45J2aY4r2XZY0F6p05KKXOTaZQYN7zm/H3G0qQlpbGIKiFUi4AMqWrYTnphkohR3WDF3kmPVYvGItemRo43H70ytDg/vW7sDBiZlaoxaV5+OpQbezGiJUW4N29GNW4dRs4m+FYtvZrjMnNxuCe6TBlqKNuG5rJWDbFHDOrUV5pwcMb9mDMwOywD9VAQMD9s4rw5aEa7DxqxUBjWtjtIoOCNI0S7+w8gTVbDuK5+aNhzEj8oe/0+sMGsepVCiybYoYcMimg2HG0DmX5poRDX39x6XlocPtR7/YiU6uCNxAeaE4p6Inbp54Hi90j3e/XVbWosXukx4+sS4rsYB3vpDMhrwcWv/qlFDiV5ZuwpDQP/bN16BtxMsrJ0uGxOcNR5/JCjuCHS9y2ABv34cFZRWHHG1k4/sbNF+KZD8Kbbk4p6In7Zw4LC4QTFVuvWL8raukyVJ0z9tJNS+paOnIpLVGNzpbK6rDZd6KtldW4f2ZRk46xrXfOiRmmeO9leRcJSqlzkslkkMlk8Pt8uPbP5fjXz6ayFqiFUi4AMujVyNKrYHP6kKFWQq9S4pQt2PemR5oa9zfWl4wZ1ANlZmNUTYxercD04X3gFwTcHedEX15ZjUUh87lCmxK+v+ckXtj8Pe6dXiTdnxiYpKmVGNO4JNLHoEFR30wsKR0cdUIt32/BHVcMxd+3HcZPJgzExUN7wesLwOsPYPxgI97bfQIjdVlSvU3coMBsxNvLSiGXAV8kqF0pNRthSldLy1BTCnoiKy26T06J2YgJecaEr7/PL+CZD/aGd9/ON+GtZaU4UetEhl6FZz78DkU5hrClpr6ZWgzI1mF2cT+pOPhvS8bj429PhzVITHTSCQhCWAARzC4BT/1wZNRxHq9z4p7/7ER5ZTWeu3Z04rYA+y04FKP5YmhWSyGX46uIEStiFmNxSR5uvdgMvVoBgy7Y8fra8QOjgqny/RapiWYs4vJerBosGc521U5GrDP66nCt9Ld5yNKAAdl69M7UtPkOqWQ1OvF2PToTZDwjteXOOTHD1NTCeaLmkMnlkDWuXAT8ftjtdqSnpzMIaoGUC4CAYPZCEACdWo7jVqc0zXz1grEor6zGgGwdZo7MweXD+qDe5UOGVgkIAgICIJfLcLzOiV4ZmqilmLDHaOzjIgUtldVYWO9CRVUtFpXkweP3hwUma7YcDBt8KggyfHeqHi9uPoDi3KyoE+ppmxsvL7wAv3lvn9SwUbztRef1gk4lx70zCvH4O/swKjcrTjapGve/tQszR+agT6YWd1xegN9iX1R9zsKSPDz74X6su2ECHG4fDHo1Hn9nT8yam1suNid87X2B6AaU5fsteOjt3Vg4cRCe/ei7uEtNry4eh0ff2RMVdF1W1FsK9poyLiP8NbA0bk1XSCfkdI0SXx6qlQIWjVLerFYEkbVHJWYjvjtpk5oourz+sOBmaelgDDalIQDgzn99k3AXnkwWu67klM2FXcet0m6+WDVYt03Jx8Ae+qhsF3A2ILE6PXD7AhgzMBiI/yWil1VTa4oSBTjJCrmT1ejEaxmRqHanPXfOiRmmvSdsCa93rsXWlJoCfj8CIfPAfvrCFryy9EJkZWVBoVBwOawZUi4Asjo8+OJQDS4Y1AMevxxPbDzb2M7tC+C8Xul48bqxuO/NnWFT2cXxEYlOTqEnJhnOZijEIMkXEFCcmw2dSgG7y49/3XQhHn93b9yt+GUh9w8cjFr+qHf5wqbZRy75PHjlMPzq8vOgUiiSBgV/2XIAv7z0PJyfm41FEUW54vP7+aXnAZDBHyOIEX12oDrujrUyswmfHYhTWL7fgruuKEBRjiHuUtMD63djYckgXDt+YNgOoBf+3/d4dM4I3Pvmzhb1TKp3+fDohq/jzoSrOFKHCwcnzmxFjukQX9cSsxFLSvMggyyqiaL496NXK6Tt8cl24fXP1mHNwguwctP+qPd72WQzBAEJa7BmjszB9OF9wk78sQKSMrMR4/N6RA0GbkpNUaIAJ02tSLpDKlGNTmnEbsHQ+49Xu9MRW9JzsnRoSDIrr7OPKaEuQibDopc/h1KpxNqbyqDTsbasqeJ33+umLHYPzuudDofPD5fXj4qqOiybYsbqBWPRM12NvywYixUhwQ8AaXxErJOT2KxPzOZUVNViyatf4scvbsPc5z9FRVWtdJIbaNRjz3Errv3Ldlz9wmc4YXVhS2V1/GWbkPvfWnm2L8yUgp4AgHStEn/+yRjo1QoU52ZDrz57Ei7fb8ED63dBIZchIATw1rISvLWsBOtumIA3bp6I26fmS9dP0yhRnJuNQCB8W2XkN4nDNQ4sfvULeP2BYEB47WisaeyQLd7Xus+r8PDsYSg1hwcMpWYjHp4zDOs+r4r73tjdPhQPyEq4+06rUmDJq1/ilte+xuJXvkBFVS2uGtMfLq8Pi0vyMLBH4vlksbIHHl8g5kw4cbL8mi0HkaFVhj0nvVoh/d2sXjAWfQ3asNcUCO72u2BQD+w8ZsXfth1CcW522OtWnJuNtdsPIzvJaAzxvS8xG6FRKvCnTdHtGcr3W7Dq40pMHtorZpsB8X56ZWhwut4t/S7ezrLyymqs+rgSi0uj623E5ZtYku1Uq3N4m9SD58m5IzEp3xR2ubg1/tuIzEqi2p1kx2N1JC7+Pxe9MjRRz0HUFcaUUNchBALwOJ2w2+2w2+1wuVzw+XzcKp9EymWAbC4vjGlq7D9tR5ZOFbYE9ey8Ynj8zqiTYVOWVZJtxb5vRiEqDtehKMeAbQdqpBljz107GrmNJ+2Kqrqo5bStldW4d3oRLivqDZc3gLeXlSBNo8T968O3kseaYv91VR20KgUs9e6onkZlZpN0/Qa3D3uOW/HD0f3xv4i6ntD71auCQd7v//tt3EzYNeNy8diGPTEzSY9t2ItrxuXGfS31GiWqGxKfkKwRhb7ic7pneiF0KgU27j4Zt5YpsteQ+Dp8Gi8rVWnB7ZfmwxcQYG3w4pHZw3H/W7vx1eHaOBk7E968tQROjw9yuRwujx9TC3tDLgNG9DNg9ZboppqLSvLgDQRQ70qcLQCARSV5sLm8MZsnAsBXh2sbB+eOjdkjBwhmwGoaPNh3wobsNDXsLl/CwCtyyVAUb/kmWZPBBk/i5yneb6IanaevHtXk2p32aHoYT1cfU0Jdi0yhwOJXvoBMJoNcEaz7+9v1E6FUKqFUKrk8FkPKBUCZWlVjLYUMPdLU+P2H32FrZTVun5qPV7YexPzxA8Our1croFIkTpSlaZS4rKh3wiBpxYwiHK5xYNQAAy4v6o0/fPhd3F4mkUHQCatT2gF1+9R8fHWoJupbfqwp9otL8/DFwRp8sPdUWL8ZrUqBncfqUF3vxtqlE2BzefHzqUOjMl+h9/vQrGEIQEjab0fs0/NhjOGsALAozi6mErMRp22uuF2tRbEyOOLjG/QqjOhnwJWjcvDI27sjlrRMuHWyGYtDGkOWmI1YMasIc/60Ne7jBQJAjkGLG1/7SnqOd08rwBPv7o2RsbPgkbf34O7pBXh310kp8HjiByPw7o7jcV+3B2YOS1r3YtCpcN2az/HKogtiXi5mIB97Z0/iZVpVcLntWJ0Tx+qc6GvQRtWyhS7lig0pIwOpeMs3yQqYE7VmiLzfeDU6zandaeumh8l05TEl1PUIgQAEQKoRuvbFrcFdYzgbDGk0GgZCjVIuADKlB7M/cgAef3D2lF6twCWFvfDMh/vDttiKBaUqReI/lga3Dy6PP2GH2oPVDbj578FdQqWNhcXbDtSEzcsCkHCbc/C2prDi1lDllRbcPb0QMhkgCMAlhb3Q4PbjF/2zsONoHW4LqVU6W9O0EwCkAvB493vPjEI4PL64y1NbK6txz7TC4NT7BJRyWXTX6nwTVswsgtPjQ5Ze3eRu0aGsDi/m/2U7gOD7dt+MQtwxrQBHa51QK+TYecyKdK0CL103Fn5BQLZehV1HrRAgJDwp21xevLPzhBRErNpUieIBWQlfq4VWF76pqpUyZ70yNChv/DuLLF7+uqoWAQhIUykSPu//990ZFOdmIV0TO/BoSjPIPcet6JWpwePv7o0qdD9ba4aY2a3Q64wdmB13+aYpgVx7Tq9v66aHTdFVx5RQ1+f3ng3wr31xKxAI4NWlF0pZIVGqBkUpFwABwYyNTqWQlh0Wl+bhtC1YFyFOFN9aWY0bJg3G2m2HsXzqeQlPTjV2N8YM6oGXYkx/F08aA7KD/YYUMpk0Q2zlvGIpKAFiLzmUmI3YddwqBVf+gJBwSKnd7cX4QUb86eP9UbuApOnqjTVNoSfLZMXDdpcPSPLv43CNI2kGJ0uvwkNXDoPT64ezsYfPZweqMedPW+Hw+DFjeB88OmcEVqzfFRUkLZg4KKxbdChXyPE7PH7c859dKDEbUdzYj6nEbESvDA16ZWqxbvth/OKyoRjWz4CAX8ATVw1Hr0wtfAEBOQYd3D4/LHYP+hq00KrkuO7CQWHvV7LXSqWUY2FJHgQB+PuS8ZDJgoH3k3NHxgws5pzfD/UuL+6cVoBFNjdkMpn0/hbnZmFRSR7Wbj8cXC7zB2Iu8SVbpr3lYjNmDO+Lx9/dE7dAWqz3iRdIyQH866YL4fT4YWlcqow8sSdrMtgrQ9Ouy0Jt3fSQqL2JfYCaK+ALnu+u+8tn0jIZAAh+P/5+Y6kUEKXSclnKBUAWuwdpjdvT0xoHV4YOnRRrgYBgtsUXEPDMh98FT2hAVB3NQ7OHwRcIYPuBYPAS2b8FOIgVM4oQEASs3X4Y88YPxK/++U1wlEW+CRtuK4XD44Pd7YdKIYdSfnaMRpnZhMWleRAgxKwfibVklp2mxoMR3amB8JNcrJNlomn0AKBRyWFPsqtFr1LA5fXjtaXjYXV6o7JgJWYjvj5ci56ZWuw+bsXnB2ukafKhHZK/OFiNB2cV4XCNEy6vH1k6FXpmavDEu3ujAj4x25OpVUY1IhQDyjKzEStmDcPGXSewae8p3DW9EL6AgFv/9hVeXTwO7+48Ebfztlins/TVLzEmNxvPziuGPMkHg0Imw3UhTSPLzCasWXhB1C4wIPi+PPT2bkwf3iesr1SZOfi3Ue/yorbBi6IcA5a/XoHn5o+WspTxsnGxqJVyQIa4mavQ4DvRIN+FVpe0HFuWb8Ijs4cjW6+K20VbFBrgGPRo8bJQ5Hb2dI0SDW4frM7YDRvbsw6nvZtHdrW5b9Q6QvsAtZQgCPD7zn6ei0tlQPB77suLxoUFRKG6U4AkE7pQmbjNZoPBYIDVakVmZmaL7qOiqhY6dbBATBCAR97Zg59MGIjdx22oqKqVlsQWl+ZhUn5P1Lu8WPLql1HLF2Jh78wRfaBRKXDfm9GDOMX5Vv+4cQL++MF+XDM+F2u3H8bI/lnBLfGNgVeWXi1tlx8zMBv3zSjCiTonemVq8N89p/DFoZqw4xKPIUuvgtPjl7JIJWYj7p1eJM2biuXfN1+IDF3wdg5PMOgq338GMhnw+cGauMXDD185HG5fAPUub+NOJxk2fXsKL3xyQGqOuPyS8/Db96O3eosZjPnjB2L56xUYk5uFO68oxI9e/ExabokMLB+ePQwbd5/Ami2H8NTckeiTqYXd7UO6VomTVhfufGMHHB4/1iwYiz/FaE8gvvavLhqH7DQVqu0eZOpUwSDN74MgyHCs1ok1IZ23xfc/1vMPzSQtiTM4Fggub56fmx0VRLy2dDyubVyii6RXK7B+WQlc3gBqGzzwBwR8c7QOudk65PfJQIPLjzStAlqlAnI5cMjiQI5BC8hkOFTdALVCjr4GXcL3/Z3bSlHj8OCnqz+Pe51/3ngh/IKAa17cFvc6z107Wmr4KL42M0fm4KLzeoZtKRdPzq1Z9xJrO7u4nCx+EYi3vb0tjifZsbXlVntOm0894vnvsgf/AZU28W7XcyWTy6UAR8wUSZcheYAk6uyBUsplgHrolDjT4EWPNDXcPj+Wlg5GrwwNfvl/34QNsVy1qRKXFfWGxR5c7nB4/DG/Gc8c0Rf3RwQ/4n0AwYzL0VonPtx3Gk6fH8W52biksBee3Lgvbkbn0Q27MWZQD4zoZ8C4QT3wzIf7E3RzNuHZecVYu/0wri8bkrDoU69WIF2jisoQlZlNWFKWh5H9ssKOXbzs4dnD8Ng7e8IKm0vMRiybbMbIfln427ZDuH3qeXEzHHLIsLBkkBSolVdW415FsGA73riPFet34bE5wzG1sA8eejv8eEvNRvzzpgshCAIeWL87bu+cGyYNRppGIQ2JbfD4cdLqRMkQE07VO5GTpZOum2wJ6edTz5MCz5wsHe6eXgi8G93RelHJICxbG71MF7l7TSS+rw+/FV20PSGvB378wtmBtuJrLpfJMPfPn2FMbjYWNL6ury0dn3D3m0IuQ5Y+8fKkxx9Api7xR0JkplDMHEX2BkpW9xKavUjXKKFWyGFzeZCpU8PjC8Du9oVlNeJtZ99SWQ0BZ2vn4vUpass6nPae/s5p89TWxGJqAGFNF0U/fenTuAFS6NKaGCglCpKAjguUUi4AUsnlSNcq4fT6oVMqYLG7cdLqRHFuVtQQyzS1AllJaloCaNqyQujPp23upJPL75xWiN9/8C1uKBsi/T5esAAAt04ZAmO6GmdCerxEWlyah0c2RC+PBe9DwJhBPTBzZA7uuLwAJ20u9DVoIZMBBywNmD9hEApyDNJyltRYb0QOrh0/EBa7J2H/noUlg8KWr6xOL8ryTVJwFzanTK2E0Nh52+3z47Yp+fjlpUNhdXogQ7CG6oTVhQFZOozN64GFIbvbQpe/7plWiCcigpQSsxGDTemoqnEgXXs2KElW12N1esNmoU0t6IV7phfihM0Nl9cPjVKO0zY3ZHEKpeItMSZ6XwMIH90hXmf2qBysbAzWgWDDTZVcjqWN41diZeDkcmBnlTVukFRmNuKzA9XIMWhjjoAR7ytWEbrbF0i6pVwMeOxuLww6NVa8uStsO/+Ugp6484pC3POfnWHHJw6BrW5wY1FJHkYNyIqqfdtaWY0lIaNn2nvMRFtutY+1zNVeW/utDg9O17tR5/QiTa1AmkaJLJ2KwRUlDZBEYqAUL0gCzgZKWq1W+l17BUgdEgDt2rULixYtQmVlJZYuXYrf/OY37Rb9uQMCVHI56p0eOD1+jOhvwA+e+7Qx+xOeXfm/G8ejT6Y2bgF0qdkImyP5NtrQk4bbF5AGicbaMSYGTE6PH0U5Brh8wT+uhLOoGndpVdvdcDYuhcU6yYlb1GPfRzVuujiYXbA6vFAp4ncuFpcbQgM8V5LdX5EBhi8gQC6TRWW29GoF/jR/NLQqOe5bvysqG7WodFBYDdUtFw/BkpABp6HHeNLmwldVdfj5pfmYPLQXgGAmT6dSYOzAbDi8fqlnzoAkDRQjhWb0IjN5N140GF6/EPb+CoKAqQW98OG+0wDObjW/fFji9gmRRfFbK6tx17QC/GbjvqjO1cum5GNcXo+wKfQVR+qwdvth3Du9CI++szcsyykex30zCjE6Nxtn7G5k69WYOMSERzfskY5VfF7ismIkMbiLt6X8WK0Dh6sdqHN6MSBbH9ZlXVSUYwgbCivavN+Ce9/cGbYEGav2TRmxU7M9x0y01Vb7eMtcyy/Jb5PHi3rsf+0IC1KTjVMhihS5LT+en770KRQhQU+sAEkMihQKhTT3LDJQaq52D4DcbjdmzZqFyy+/HOvWrcPy5cvxyiuvYNGiRe3y+A5vsAN0pk4Jn19AvcsHh8cflf3RKOVQyOVY8PLn+NuS8VHfWEvNRtw/axiO1zkTPl6vTE1jMXRQtl4FnVoZc5Dos/OKkaFVBjsra+SoqKrFZUW9UWI2xs1QiCfSgCAAkMGUrsFjc4bj0Q17w05gZWYjVHJZwq36AUHA9X/9Eg/OKsLb38TvWxOalRCPK2kRdcjlJY3Zhhkj+kZlQBaX5uFEyHy2UGKmSnz8WANOQ++nd6YG65eVwFLvjgrmxNER4rLcsinmZm+/jxWgVFTV4YGZw/DQht1Rs8wemj0cAQjYdqBGCvqK+iauZfP4A1HvmSAgarBqeWU1IJNh+vC+YZmqMrMRi0rzYLG7o/7OfQEBecY0PLxhN+4JKcAuMRvx68sLsLQsDwqFHDqVAjuPWmP2qAp9bWJtKT9a48Cd/94hvfarF4yN+Ro3dYZbvHYR2RHLe+e6vb05BcZtsdU+0TLXTRcNafLjtaRQ2urwRAU/QOJxKkTnQggE4PPEb4IrZpIEvx8vLRgrZYvE/29pYXa7B0AbN26E1WrF73//e+j1ejz++OO49dZb2y0AanAHg580lQJOWQCKxm+OsWp8nrt2NI7UOlF5xo6FJYNwx7ShcLj90GsUOG1zY/5L23DNuNyEywof7T0tnTTKzCb0z9Lhrog0P3D2w+XOKwrwv6paXFXcDxVVdXjmw+/w68sLYs4VilsXlG/C3dMK8JMJA+FoXJ7pnamBWqmIG3gtf70CusZ5VoU5mbjjjZ0xX7/Ik75GKUefTC3kMfr7hD6GeJIsMxuxoDGTMHNEX0yMyEqNHZgNf0BIsJxWjYUxlhUjj/GWi80ICMCXB2uwIVYwtd8ChARPobv/IjtsL4iT+QCiM1vxlhm3VFbj/vW7sLgkD7dPPQ/PfvgdinOzMaCHLmr3WmiQ0T9bh79vOxz1/v7nlok4aXWj4kgtZDJgeI4Bbl8Ag4x6fPDzSbA6PVArFVDKZQgIgvTBEPp3vmyKGX/97FCcv8V9KM7NRkVVLWaPysG4wT1QnJsVlZFbUBJsTSBuKbc6PKhu8MAXEBAICKhu8GBp6WAU52ZjzZaDcQP55g6bDX3PS8xG+Pxn93KUmo1I1zb9oy00SDDoVFAr5Lj7PzubXGDcFlvtEy1zfXqgGmVmU8yO4KGP19JCaYvdE7fbuPjac5I9tafQJbfr//Z1WP2RvLFg+x+3XNTsjFC7B0DffPMNJkyYAL0+uOQwcuRI7NmzJ+Z13W433O6zNS02W+Lpyk2RqVNCo5Cj3u1DukYJb0CIG8CIPW1kgPStevWCsfhxyC6Z0BNnZKFu6ImzxGzEgpJBOFbnTNhM0OMLYEtlNR5cv1s6OV83YRD8jUsoBTmZUjagd6YW3560RQ2sDGZG9oYtz6xeMBavJGiUt2JGIdRKeVhPpHjEk1GZ2YiaxplQd76xA2uXTsAj7+yJGqq5YtYwHLQ0BOetZWhwzYvbpMnmYpdtvVoRLFpWK3HG3rTHj/czEAzMHB4/emVqmxRMhWZH7plehAa3D3qNAjqVAjNXbonbLDEy89WUTEaN3YNrYky8j1zeKTMbsfOoNWbw9vCGPSjOzcY3VXW4ZfIQ3NY4hkQ8nt6ZWny49xRe3HwAYwZm45HZw3FJQU98tO9Ms5bfVm2qxM+nnofTNhfumVaIAIBahwcquQxOrx/L1lZgzMBs/HbuSNS7fHjwrV3Sc4u1fKqM8w2tORlE4Ox7Li7NWRuXoksad4XF+sIQKxvS4PGHBQnxdgMmKjCOtdVer1ZgxcwijM7NwgFLAzJ1nmZtU4+1rCa+b2NzszHn/H546K3dYYFK6Nb+cymUTrakJ+4GpbYV7/zX0j5A3YYgSDPOfF4vXl82GTqdDoqIOqOmaPcAyGazIS/v7Lc3mUwGhUKB2tpaZGdnh133iSeewEMPPdSqj5+mUsDu8QMyGc7YXQgIwJLSPMhlsqjttRlapZS9EAtDQxslAuEnzlsuNsMvCOihVyMgCGhw+/D01aPCpqo/ffWohMcnnvzFwmEguGx3//pdeG3pBDwcsbQSryYi8luyTCZLWKx917QCHK9zhfVEimdADz0ev2o4hvRMR3aaGvNf2oahfTKwcfcJ3DWtADdd5IXV6ZWet9jksMxsxK+vKMDTV49Ctl4VDFK8PimT9crWgxjRz9Dsk2Gs64vLmM3JLIjZkeIBWVLAu2yKGaNzs5rdmToelVKOTK0Sv33/24RLjN8cqcMDs4pw5arYYzpCAxSVUoa/LLgAv31/X1Sm6M1bS7Bx1wk8+s4ePDBrGIDdmNcYoCRbfhNfm8gC8FKzEQ9eORxOjxd/uW4szL3S4fUHcOe/d6A4NztxR+qSvJhfOCqO1DVrCbJ/tg6rF4xFxZE6rNtehVsbB9OK/87WXT9eykb5AwL8goBjtc6wJpMrZhbh3R0nwoKIRAFsogLj0JEXDW4vMhsLve/+99lM6qWFvfDglcPg8gaSLklFLqvFqpVbXJqHmy4eAo1Sjmy9Wtrab3V4cMLqanGhdLIlPY1Szkn27SDe+a81+gB1JZEBX+h/B+RyaLXaFtcCtXsAJM4iCaXVauFwOKICoLvvvhu/+MUvpJ9tNhsGDBhwTo9vsbvgF2SQywCdWgVBELD1+2pMH94HS0rzkKZRQq9SQK9R4IzNhftnFuG3732LRaV5AGQxMz4Ojx/fVNXi/AFZWLe9SsrSiCcN8cNq5bxi9MzQxDs0AMEPdnFJJFuvgl6tgEYpxzXjcmMurSQaoRF6ck9WpCyOjHD7AthzwpZwS/X7u0/im6paLC0bjJ1H6/DqonFo8PiRpg5mTBRpMijkwWUfcUmnzGzCLZPNUvYHCJ6gH549DCtmFkknzfNzs5Fj0CZcVgw9GcY6OYo1RhcONjY7mIoUf2ks+HyWRMwW65OpjbqPUAqZDGqlImEW8N4ZRZg5oi9q7J6EYzrSNMF6MaVcht+9H92CoHy/BQ+9vRszRvTFNeNyYXV6cdf0Qjzc2AYh3qBTUeRrE7pb73B1A/pl69DXEDwRHq52hAVl8Z7bktLBwS8cCN89efCMHY9fNQJHa52oC2miuee4VeofJSoxG/HfPaekouhFJXlSj6XFpXlYNX80PH4Be07UI02jwB8//A4fhbRwKDMb8eatJbC7vLg7YqknWcCcKPMhbrW3OjxY9npFWGClVyvw43G5uOONHWHvU7wlqchltchaOTFYX7WpEmX5JqxqzOiIy17zxuW2+HkkWtIrMRtxut6NsQOzY9ySWlO881/A709aVNwVSY0YQ/4/4PfjrzeWJt0h1lLtHgD16NEDu3btCvtdfX091OrobyMajSYqWDpXWrUKMgQ7456ud0Euk2HswB649i/bsWyKWfrAFRv3/XnzPhTlGKCQyXHvjEIIABrcXjx45TB4fQLqHMEGex/uPYV126tw78xCbNx1AqZ0DVYvGAuPP4AB2XppFtfi0tjfgIHgN+v3d5+STiBlZhPWLLgAOrW82buFgPATWLITfaZWJQUN8Zb1IncC3aKU482KYyiv3BF2nWWTzXB5Azh4xo53l5fB6fWjpsEDl9ePxaV5UlD01eFafHmwFsW5WdI35TVbDuJP80dj2WRz1OOLu8DEPjvxgpDQY+yXpWtyMCXeZ480ddi4ETHDd+e0AhypcUKjDM4W+/xQNVbOK0ZaYzfiiiN1+GDvqYSZDPE1TsRid8OUroE3kLhHaYPbh4qqWtw1rSDufDjxb2PN1oO4b0YRPN6AFHhEZjMjj1W8vOJIXcI+VA/NHgZr4wk1ecbND61SgWkj+krtC/QqBXplanDvf3ZG9VW6e1oBrlvzuRQIlpqNeGTOCHx/xo6NPyvDOztPJJxhJjZK/Cxk7l55ZbD79p1XFEQdX7J/J2qlHN+fsSdczopVvxOv3UGivkWhy2rxMlN6tQKjBmThhNWF78/Y4fYFMGpAFvSqxCeFRBkc8bEjl9DEXWCDeuhZ/9MO2uL815mELeMJAv52Q0lYz6DQXV9tteTX7gHQBRdcgL/85S/Sz4cOHYLb7UaPHj3a5fHT1Qo0NM6gWra2Am/cdCHONNaxiB8y2w7UYHFpHpQyGW6bkg+lQoZahxcyGVDn8MLh8eOM3Y6e6Rqka5U4VufEBY2NC/eftmN0bg88/f6+qP4zz84rxl1v7MCTc0cCiK4ZWhhRbFteaQFkwcLomob4FfJA9ImnLN8UVsuTaImh1GxEvywdxuZmw+X1h/VEuivkpC8uL4i7piLniYU+pxkj+uLGi4bg3jd3RgVRoa/Dy1sPIj2k+Z7D48eta7/GjRcNlk5QLm8ACjngDwhQymV4ZdE41Lu8YUFIcCu7Du/vPiUd45otB7F+2USc39+AGoc3bDzHvhM2XF82GIteORs8lTbWaV37l+1SZ+3QIahFfTPDuiCLzye01koMFGQRS6qhgdno3MTfnlVyGWxODz47UJ00QNlaWd2kmq2tldUQBKDBc7Y2Jlmgu65x/pj4txB6Ag/NBh20NCC3sY1AsgBiQLYOVmdw6K1MJsOeEzYo5TKp23moYKH6XqxZeAGO1p79G3xkw24U5RiQrVNhx5E66e8xVoAR2ShRtLWyGrE+U5MFhe/uOolVmyoTFhPHqqFpztJaaM+kR+YMh9sbiPnvP15QWmI2Ymphb0wp6IlNIZkvUVMKs3OydFg1rxin692wOoPd39PUSmTp2QeImi80qyNmdsSABwiuAnVEM8R2D4AmTZoEq9WKv/71r7juuuvw5JNPYurUqeeUxmoOBQDIALvTB4vdg+v/+hVWzg+eBMQgIl7X5xd+OgZ5xjSs3LQ7bmbkr4vH4Q8ffhc3MLhmXG7YVuQMrQppagU27j4Zc5tx+X4LFk50QZvkG13oiacs34R7pxdCLg+OQKh3+6BWyHBpYW8IiN4Ofve0AtQ63Fj4yhfSh6rYEynWSR9oWrFvvSt6erz481NzR0pjKCKzVw6PH3/4YD/+8EEwq7F6wVi8vPUgHp49HDNXbsHqBReE1aSInrt2dNQxCYIMj0UMAC3LN+HXlw/FlsozwW/eOpU0lDX0PYhcXowc9BqrN45YE/bvmyfiWJ0zrB+PeN9fV9XG3cVT1riM9u0pO8bkZuOyot545sPvwk5kZfkmrJhZhIOWBqxZeAEyk+x46pURzEbWN9adLJtilrJw4t/iktLBUCpk6JmugdcfQI3dg+VTz5OWLEPf71j1KCvnFaPMbEoYQJSZTdh51Bo286zEbEyYwSqvrMbCenfU3+C14wciXauU6m7cvtj/ZoH4GdJahzfqWMWgUIbwJc/I93rzfgvufGOHtPQUKlYNTVOX1mLt3Lq0sBd+dfnQqNvEyyqJu/juvKJACn5FzZmBxin2dK7EgEahVEIIBPDaTWXSclZnGJPRITVAL774IubPn49f//rX8Pv9+OSTT9rt8es9bgBKZDRmHb47bYdKIUeJOXm9iFIuw8bdJ4L9ayKazS1/vQLFuVlQK+UJ6zsWl+SFBVjP/2Q0XF5l3A9vIPjhmSiDU5ZvQv9sHZ7/yWioFcGOxDuP1uHXIVvZS8xGLC0djAsGnW2UJw4Z/d/hOozobwAQXtS9uCQvbs1SU4qL411HLLoWX6fEJ00j+hq0uOOKAhywNMDh8SNdGzsYjHz/7ptRiIff3h31mon9g4pzs7Fma3BY7Q//HHuOlvielZiNcDU2TkzTKJGmUYRlm0I5PH4IQMwgDQieZN+8pQQPb9gdFZjderEZM0J2nYk9eRZcmAeZPNjvRimT40SdCzuPWbFmy0HcN6MQUwt7oaBvZli/oB1H69AvSwelPFjbJZP5UV5pwd7jVikLd824XBQPyILL60e2KjgrzauUQSnXQi4DxgzMRvl+S9h7GXriFYOhf311BPfNLMJv3tsbc1hrmdkYtVypVytQnJsNh7t5TTRFX1fVYfrwPhjSKx0VVbXNug+9WoFsnRp3TSsIdvAOKY5eu/0w7p1RBLkMsLl8sDm9YQGsqHy/Bafr3VFBQqwammSfLRlaVdydWx/sPY3LhvWJajOR7EuIxe5BcW629O99sCkNfQ1aBjXU5uRyOYRAIGxZqzMOUe2QTtBz5szB/v378eWXX2LixIno2bNnuz22IAuOWUhXKaVv4TUNHiwqycMpmyvpkoP4DXFNxDevsnwT7p9ZBI/PH/YNO1LkB7FaIYfXnziY0CjlId9MZVHdWRdMHISrnvs07PFWLxgbdh/isRbnZmPJq19K9TRPvbsPv7jsPOw7aZM+YCN7xcQKvM61uDj0pBdvKSZ0ivsLnxzAynnFKDUbYy75lMYojh7R3xDW4C+U2Cvo/AFZced0hVpUkofbGoPc4sYlrIqq2pjvcanZiON1zrh/S8W5Wdi4+wTGDuqB+2YU4VidEwadCt+dqsfiV7+I2s0nfpuP15n7obd24+VF4/DAW7ui6nMmTO6B+X8Jnye2qCQPr28/LE2oj9w5tmyyGYsas4Frr5+Ab6pqcV7vdLy1rAQOj1/KOFVU1UnB0AWDeuA37+1FYY4BSpkMv7psKO6aFlw6Vspl6JmhwexVW6XjCM0iJdt5GOtvqVemBre9XoFxg3rAoFcn3bk0IFsn1XWt+7wKf5pfjF3H6tArUysFjP0MOqy/tQQf7D2J93efxLhBPaBUJN5yHOtvJ9a2+ERfYMQlqcjaodBlRl9AwMOzh+GB9bul+0z2JcTlPfvveFK+iTPCqFXJZDLIY+xGC/j9WHvzpA5b1mqODpsF1q9fP/Tr16/dHzdNpYA3IKDB68d9Mwvx8IY90KkUuG7N57jxosF4YOYwPLJhd1T9jpj+jsyQpGuU8AUEfHagGrMbt3vH25oORHdErjhS1zh/KfaSiHgd8XHX3TAB9ygKYXN6YW8svI31OLE+HLdWVuOe6YWYMbwvPP7g5PHh/Q3Yd8KG0bnZ6GvQAYIQ9tz3HLdiReNrEvrhfcrmStj48HS9G6dsrrjvQ7omvO4nshO3WM8zJ+Q1PW1z4ZE5I/Cb9/aG3ZcYKAUEAUV9M6Ws3NHaxF26/YKA5a9X4B83Xggg/IQT2ik7W6/CT1Z/jtG5WWF1WvH6Py0sycOdcWq9Qv+WFpfm4bF39qC8shqrF4xNGKwlWk588MpheOCt6IG8ieaJFedmwx7jPsX3c+314yEIgD8QQP8eejzwVvSyr9jXZ82Wg9Iy1kcRNSfiazp9eF88ffUo6FQKBAQB2XoVah1eLCkdDEGI34sr1i6/0Aaj4tJRulYZ9++xzGwCIMOytV+jODcLf18yDnUOb1SDzBKzEYN7pqHU3BNPvbcvbFku3r/pdI0S35+2R21rj9wWb9CrMWtkXxyN2Io/dmC2tCR1wNIQ9rpF1veIvYXunVEIp8ff5GXx5ix7UefXEX2AIndoiTU86enpMa/f2QMfUcoNQ7U0uJGmUcLWWMxcnJsNnUqB4tws/OGD/XjhkwNYXJon7VAZ2EMfVZ8TmiF5bel4aQuuKN7W9LCOyPkmPDBrGFzeYFHqsH4GBN4T4p4sxceVyYD/7jmJKQW9wxoyRoqXgTlpdYUtzZSYjRjeLw+VlgbsPm7Fr68owB0AnN4A0jQKKGQynLa6sKgkD4tLB0OvVqDB7cOu41YsKc0DBERlpJZNzodCBgw26fGiWhFzfMJJmyvsG3Hoa1pqNuL8kMLiMrMJD88ZhjP1bly3ejtmF/fD6gXBdgh9MrUICMAfPvgWN19sxmvbD4eNXUjE6wugODcLp20uTCnoifkxmhOWmo34QXE/vPCTMeiTpcWZejeevnqUtMQ0Z1QO7ppWgKO1TvTPDi/CjhfUiZeHLmE0ZRhrLJHLibEuj9Upe3FJHuri3Gew7myQFJzHGksi/vyry4ZicWkequs9USM7dhytw6j+WfjLlgMxd2aJr8PUgl54ePZw3B85+61xSXBxxC6/0AajGVoVTtQ5caTWgVsvHoKAEP1v6JbJZuw9YZX+PQYEYGWcAn45gOkj+jap3USZ2YSKqtqwmqbQ4mixhiZWXU9ZvgnvLi9DdkhRcWgWK1Z9j8Pjx93/3illc8THi7VdvSzfhNweenz0i4uk/kDUPbRlH6BYwZVYuxM51b2rBDmJpFwApFEqEBCADJ0KmystqKiqhU4lx22TgwMGt1ZWh33APXTlMHwTZ6mjLN+Ezw407cRTZjbi4TnDcbzOibEDL0DvDA2efHdv2HDMFTOKcN+MImm+WGR2R/zm+8yH++H1N+9bs8igU0kDQEPrl1bOKw4rPBatv7UEL5YfkIKc0E65Yvfmn03Nhy8gIE2jgFohx3u7T+KFT4IdiFfMKMLd/wmvRVoUkiGJtaR3z/RCuLx+KZvT16DFxl0nkKVT48Erh0nBgrgkOXGIEb+87Dyctnlw/8wiPLphL8orLUl39Jy2uaRjEZeDYu0iemD9btwzvQAPRmRByvJNmHzZUCx6+QtY7J6oImwxqBOzIP2zdSjqm4lV80fj64ialXNZUrS7ml9DI77/iW4jLk3Fev3E+h2NSoFJZhNMGRq8FBHolJmNGJ/XI6pTeeTOrA/3nYYAAQ9eOQxHapxwef0Y2EMPrUou1V3VOrxRxeST8k3I0CpxwNIAfyA4xy5ynl/FkTosefULrJxXDGN6sJ7N14xRK6FC/03HasEAhG9rB4DT9W5U1TiiJtmX77fg/vW7pOsB4bVDTdk1NqRXetRSG3A243MuA0tbMkOM2kdr9QESg53QrE5kzx2g5XO2uoKUC4DS1Eo4vcGmfftO2LCoJA9rtx/G8BwDZkYUN5+yuXC01olFpXkIILonzQOzhuHKVVviPlamVoV1109Apk4FtVKGarsbWXo11Eo5vD4/7p1RiJ9feh6cXj/0agXkMhlUShkGm9Jw//rwNveljcs8T24MLv/E260SLDbNj/pgFu/j/313JuqDNVHAVNsQ/GYPBDM9kY/7zIf78cyH+6OWCYFgJuHuaQUxAy4xQ/La0vFYWDIo7PIf/vkzrJxXLO38+b8bL8So/tlRmTYgeCK+ZlwuHn9nL8obgzKxQ65OJccPivvhgbd2xxzPoVXK0eD14+HZwyGXyRKcFC2ocXhjLhcFBAHXjMuNuUtMPL54/Wlmjuwr/Zxs91SijtPxisJFsQKdHIMOn+w/HePaZ2+TaABv6HNaNsWM/8UYH1FeWY0AYjfpjPyC8NG+M1hcOhhfN86qW71gbLBWLd+EB2YV4aXyA1E74Z6aOxJurx9/2rQf88YPjLt7E4jo+N3ComsguOS14bZS6FUK/OjFz2J+MfrycC1qHV6sWL8rqhVC6DLa5v0WnLS5pMAitHaoqbvGQpfa6l1eZGhV55zxaekMsXgYTHWsyEAHOLuEFdlFubsGOvGkXACUpVfBXe+HEsC9Mwrx2IY9KMoxQBCAgr6ZUCvkcHqD6+un69246bWvACDsm6VBp4LL64fb50vYqVfsEbTy4/0xl7b6Zcmx42gd+hh0uG7N59LjjM3Nxq+vGIp7FIWodwVHRTg8Ppyqc+G2Kfn4xaVDYXf7kKFV4pHZw+HyBXC8Llhb0DNdA4fHGz24Mt+ER2YPx6MbwueuleWbcMvF0d9kxeM8bnWir0GHMYOypUClT6ZGWhLTqYLHFq8Wyebyxd0N5fAEGyTGujz0BKBXK1DTEPt1TtYh98pRORg1IAsLJ4YHWb/ZuA/D+xvgCwioqKrFteMHxrx/kV8QGt+H8OPYWlmNO68okHZSRQYx8bYqb6msRkVVnVS3Er8Q3IRfXT4Uf/zou5jHVWI2osHtS1pDFvm7vSdtmJBnhF59IO6E9+IBWVDIZDGm0QthS41NneQeKfIkb3V6UTwgK+yYy/db8MBbu7G4JA/Xjh8ovYen690QBAFHap0Jszai0CBQqUj8AZ8w2+b24ccvbkOZ2Ygn546M+Te/uDQPK97cGTV6JtYy2tFaJ/pknt2ZJQY0J6zx6+eA8EaGocGEzeUNDi+M+H1TncsMsVhaM5hiINU0ofU64k6sWOMiUi3YiSXlAiCDXo1ahwc+AY1FwFm4pLAXztS7gzOD5MEJ1plaJSYOMUpzoMQPLKlJ3OdVWDGjKG7hZanZCJVCFrdPhwzAQ1cOx7B+Bjzz4XfSh6jY3v+hK4fhnZ0n8IcP9sOUrsZrSyfg0Y/2RC0X3XlFAepDggy9WhHWRNDh8SNLp8Ke41a8u+s4lk/Nx/Kp+XB4/FDKZThW60COQRs17yp0B9aj7+yN2mEmPt5rS8fHDXAAQKtUtGipTjwJlZiNCAhC3J1yiU6+5fstuOuKArz5v2NRtVjLJufj80PVUuChS1JQqpDJ4ha2H6114pbXvg7poYQmBQePbNiDDbeVShmq0JlySrkM6RoltCo5fvziNjw5d2RUT5cysxEPzR6O93afwKLSQQhAiAqebp0cXUMjZuqCS5SFUX15xMtvvGgwLi3sjYrGrEzo/S4oGYRtjd2VmzNvLZRepQgLrnJ76BEQBCwtHYxb157t+yMGUZF/Z2uXjpfqmELn9UUqMRtxyubC8cag4qClIX7BdL4Jp+vdMQviT1qd2HXcCiBxdqu5AWHkXC7xv5s6Yb41g4xEU+iTzRCL1JrBVGtnpbojKeC5sbRTbz3vTFIuAAIAAcC9b+7EHVcEd668uPlA2IedRinH1u+rMWtUXzw6ZwSO1wXnE4nZg7XbD+P6siE4UuPAiplFUb1mSs1GPDpnBFze6F02oi2V1Thc48CytV9jcWn4t9uKI3U4VuvC8Jxgb55rxuXiqff24o4rCrCw3hV2vcWvfIFV80ZL9xvZRBAI9hrK1Kvx74pj+M17ZzMJYnbh+r9+iTunFeCe6UWwOr0w6FT4JmSIaaiwQm6zCTlZ2gS7b4zI0itx25Sz9VXSZUkyT8ETmgkrZhXB7vLGXSJKdvKtqnWE9UKJrAsRl+LERn7xsiifHahGRVVtzBOeuPQVWfgMJB4s6fD44fEHMH14n7AM1WcHgoHZmNwsLCrNw9A+GVEF1RplsN/Tl4dq8Jv3vpNO2LdebIZaKYdcLoNaIZeaFMZagizfb8HPLsnH6gVjoVUpIAPwaUgzSEEAnnh3b9LdZS2pX5pS0BNZaero4CrfhEWNQ4BD6dXKsPEkDo9f+jcJBJeEV80vBmLUlC2bnA+X149H39mLSfkmTBxsxEBjWtSOxzKzsXFOmQyrF4zFqo8rowK/RaWDpExgU+apxRI6yb7iSB2MadFBQKyt9ED0jq7WztgkmwTfnCnwrRVMtfZz7I7ELemv3XIR0tLSGPA0UUoGQG5fAF9V1UGtlEvfGmPVxQDBD9YbJg1GqdkEX0DAZUW98YPifpAjOKXd5vTgsatGwOHxw+b0Il2jhFolx1Pv7cWsUYm3+QuCELNuQXxscVp38YAsrPu8ClqVHC9vPRjVS8SRZNCpWiHH69sP45E5w3HQ4oDL65dOhvNeCvaIWfLql1JmZ0pBT6yYWSQ1wROVmY144MphqG3w4IphfbD3uA1Ha5xYVDIoavdNWeNunR/++TM8/cNRePjK4Wjw+KTM0/aD1dLYjcisxX0zC3GicTL9kxv3oijHgD3HrTEb7MWquwnVP1uP3cdtuC1BqwCHx4/bXq8IZm9kiKrbCK1tijzhlZiNyDFopR1t4vtZajbi4dnD0eD2IZFAAGEZmFDlldVYVDoYi0ryIEPkDC4j7plRBLVShrdvK0GDO/i6bqm0YOfROtx2yXl45sPvsGDioIQZutONXZb1agVWLxgbVvA/op8h6YwxIHn90umIdgilZiNun3pezKJzsa4qMtB0eIJZztA6Gr1aAX9AkALXZWsroory9SollPLg8trby0ql+hi5XIbpI3OwsCQPKqUcCpkMnx2oxi2vfY0bJg3Gl7FGc8RoKxBpUmNT0kQ0SnnY39VV58f+nGhKfU9rZmyA5JPgY80Qi7c01VrBVGs/x+5GBkhb0pntaZ6UDIDsLi+enVeM3cesuHt6IfDuvrBvjeLJWzzpiYW+otULxuJ0vRtjBmbB6Q0gEBDwu/9+ixH9DZg2rC+eencfCnIyMaBH4g/CWIM6Qz8YxR0ivoCANQsvwBMb92JhSR4EhAcBp6zOhD1Q+mfrUJBjwFvfHMfnB6M/2MXr9UhTB5+bzYWKw7VYXDIIv7x0KFy+YJE2ALyz84S0w2tRySDc+PfoGqkBPXQQBEhjFG5Z+zVeXTQOV7/wWdhjilkLsZ9Sg8cPU7oav33vW3y47zRM6cGhpA1uH2aN7IvfvvdtWDYnS6dCX0P8DJQ4ub6iqjbm8lVoZkLM3rxx80QcjzPCAgjPOJXlB5eYrlvzOZ6/dgwUChnqXT6kqRVQKuQ4UuNAzwxNwiVAe5IASWw7cO+MIvj8QmNNVnCXxn/3nIz7fnp8Ah6eMwynrInnhIm9ZMQgeN0NE7Cw3o1MrQp+IfEwVk/jsmTCmWKlg7DzmBVv31YClyeABo8P/bJ18HgDcbOjkZmV0KyjeJsVMwoxsIcev3l/HxaUnF3+E/+tig0de6Zp0CfGEknfLB2mD+8jjdGY/uzZzQxNDfwAoH+2Dh/94qKwAAVIsD3dbETPDA2Kc7OlZUi/IMQdsJpsHEVrZmyAxJPgY80QS7Q0lezLSaKBrKFa+zl2dWEFzYKAf/5sKjQaDQOfFkjJAKhHmgZ/+HA/xuX1QGHfTIwZlC19axSH/s1atSUqYxCqV4YGJ6wuVFTVwZSmwY2ThkCnVsDrD+D2qefB5vbC5xfiLquU5ZugVsqjdp6JJ9wxA7ORZ0zD6gVjkWdMwwmbC5v2nZEGtYbeZtdxK1bMLMIjb++JsXOsCPNf2gaL3XN2UCei5xyJQ0CLc7OwpDQPMsigUcox57mtMZ+/2CsmtHZJ9Ny1wSW50L5JsdpWhGa//nXThVj8yheYUtATN0wajF9ePhQKmUxqSikGSxMHG6FSyJGhU8LnCxYwx1qGjLUrLfSbe6z6o+LcLLi9gYQZkzxTmjRypM7hQU6mFkN7Z0CtlOOhDdHNAh+bPTzmZHtxaSbZ8lGD+2x9l/icauweOLx+DM8xRLUtEJVXWtDg9qNfljbhEFwhJMhxePw4WuvEa9sP49HZw2F1Jg7O+hp00u2Wv16B+2YUSj2R1Irg3/KytcHXf3iOAVqVAgtfDnaY/vNPxiS879BlojsuL0BtQ7DNgNiccuQAAx59Zw8KcwxRy4MGnQq52Tpk6hIP7hSDi8gxGk2taSozmyCXyTCkV3QzuFjLV6WNX6zELwaljV3cxaXmpta0hGZcdGpFws7zTQ0yRE1dehOPI9HS1G+vHtWsYCqelmSlujOpD5Ag4P+WX8Lg5xykZADk9Qekb3KHahxRGZ5lU8wYk5sVt6Cy4kgdivpmIkOrwVeHaqI6xt422Ywcgxa/fS/826mozBxs8PajFz7DkyFDQaXLG4dd1jmDO6TeXV4mNcKLt9W3oE8mfnHZeVhYMggZWhV0agW0Kjn+8N9vYWmcdu/w+LFuexUeu2oEbE4vXN4A9OpgX6RT9S6su2ECPL4AztjdyNKpoUqyWybeiSLWSb18vyXBAFATtlQGL79rWiE27jqBKUN749H39sTc3VViNuKR2cNxss6BA9UOfLT3NO64ogB3ymQ4UuOImbkJ6+ESo/6oLN+Eh2cPw+FqR8LlHJVCBkEIfgs7WO3A1v1ncP+sItz7n51Rt9laWY2H39mDu6cXYubInKgWC3IZIJfJmlwkLhbPLyrJS7hNXVRV44AxTRUza1jS2IxQEfHBadCpgjUzPh/StYkL2HUqOVYvGIt0jRIZOhXe3RldMC/qlanBmfqzf4fJxr8MNOrx4S8ugtcfgM3pRYZOhf8drcOLmw9gTG4WflDcDyMHZGFUvyys8lRG/Zv46BcXNXlZJPIE25SaprLG7JZCHvvfSKzlq3StEg1uH/6+ZDxcXn9YvRVwNnB4ZPZw1Dg8MXc6xcq4lMbpUt2cICPZscfaWp9sacru8jU5mBLFWk5rblaquwv4/Qj4fFi3bDKDn3OUkgGQzRX8ZhuvGZw4rDLWN/rQ5SmfPxB3q+vMEX1x+2VDUe/04teXn52L5PMLGNhDL2WYYhW39jVoMedPW/H01aMAANUN7iYNaq1p8OCVrQfxwJXD8N0pO/QqBeaOGYAfjs2F2+dH/2wddh61Ytofy882V8w3YdnkIZDLEFWTsXbp+ISPGeuYxDEYQsTyyY6jdVgxqwiPbNgT1RH3wVnD4PL54AsI0rfhyUN7JVwiafD4kJWmwuXDekM5og9OWd3QqBQxJ9eL9GolXls6Hm6fH58fqpaKgw06FTK0Suw/bcft6/4XdzlnxawiaWee+LtFjVPvYwXLALBp3xlcN2EQxuf1gNsXgNXphV6tQM8MDT7+9jT+9tnhpCMzQm2prJb65Vw42Bj3uQLB5a3qBi9+9c9vYjYIXP56hfQ3BgQDPIUccHr82LSvBsP7GmLWXYnHVufwQiaTQadW4Juq2riz0cryTfho72n4AmebdyarG5IDUeM9yswmrJpfjGVrK7Bi/S7MGNEXfbO0MdsTNGdZJPIEm2w4b88MDUblZuP17VVhr1+keMtX35+24wfPfxrzNpv3W1B5xi5l/UKzQvEyLmJ2LzTDea7jL5oyCb4pS1NDeqU3uU9RvOW0p+aObHYg1Ro667Z7we/H67dezGLnVpCSAVBaYz2LeCKI/LBzePzYuPtE1Lf20Knvp21uHLPGnjUlZhuqqh0xl1P+ccOEmGM1RP+66UJp6jgAeP1C0hOGOHdrQUke3tl5Iqo2ZNkUM/6+7XDU7cv3WzB9RF+8u+N41GWfHqhOOIH+dH14fUmJ2YjbpuQjQ6vAh3tPRzVAnP/SNqxZeEFUT57KM3b4A0J40WuSZnUNbj8a3D7kZOngDwSQlZY8YyUIQrCvzdqz35RLzUbcP2sY5r+0DX/+yZi4QWnFkTr4AwJe+OSAdH/i6ITll5yX8HH9goC3vjmO0bnZUr+nUOLj3TO9EA5PsED9v3tiT5oHgkMu12w5iMuLesd/f8wm9EzX4IzdnbBBoBjEig0HxRovAPjnjRfi6hc+ixs8rZxXjCWvfonXlo7HI+/sjR84zizCnD8Fl1KfnVcMeeP8sHgDcO+eXoDf/vfbmEXICClCXlySh0c37I1ZlJxoWSTWie2puSNxZ+MJNl6T0ZKQJazQGV7NlSxwCM3she50SpRx2VJZjftmFGFqQa9WaYbYFE1dmmpKMJVoOe3Oxuff2g0fE+nM2+5lcjm0Wi2Dn1aQogGQUuquG2930Y4jdbhvRlFUR2axdqNXpgazVsbvAp1oeUKvSfyy290+fHm4FtOH90FZvglfV9XGPc7SxhOGTqXAWzuO4/cffIefTBiIu6YV4LTNLQ1eHBsyWytSrwxNzAxGogn0988sgtXpwbvLy2B3Bwt/1Uo5FHLgt+9/i427TkXdX6nZiP/uORV1HGuXjoczYidbsmZ1ysalB48vAIvdjRq7G+cPzE4YEHj8AUAA/nXzRNicwZPfSatTqpFSN+7OCR2HEvqcLy/qExWQlFdW496Zid/Pftk6KOVyqZA8khigFA/Iwul6Nwb20Md9rwBgkCkNrywaB61ajnumF+KJiCL+0PlXxvT4RdiR86IAYOaIHFyU31Nashk7MPbfTejynNXpTRg4HrQ0SK/b8tcrsHF5GdyNzTvvvKJAWnZVK+TomaHBaZs7rOtzqNCmh25fAOWVFiyM2DafaFkk9MQWWlemVsqxYmYR1Ao5ah0euLx+qdmn2+dHz3QN1Eo5auwerL+1BL0yNC0++fbQq6UvB2JNU2gNT2hmVa9WYOSALJywuqTMdTwurx/n52a36JhaojWXppqy02tIr/R2ycB09m33a64vjWpqSC2Tkq9ill6FB2cPw2Pv7MH88QOxdvvhqN1FOVla+AIBXHl+TliBNADU2D04bXMlLJKOt2QlzqBKVBydk6XDWAHYdcwa7AL84Xdxj7Nftg6BQAAurx8vfHJAGlEQWpdUZjZizvn9Yi4VAPGDtUTjKua9tA2vLBwHuSyY6q5v7NWz7vMqrJxXDLvLHx00hYzyEJWajeiTqcW2g9VhJ+otlZaEO9u2VFpw+bA+mPv8p3B4/Fg2xYz3d5+MWe9SajbiV5cPlbb8P3ftaNzy2tcoMRtRnJst1UidaBz6CsRe8jkeJ+Pn8wkJG+t9tPcUfvv+d3j8quEJ66DE2WZv3DwxbiBXYjbi3Z0nsGpTJV5bOl6afxX5/oh9jhQyGRaV5EEuk0UvPV45DDIAxpDUfuQH+5ONmZHI1gBLSvOw85gVqxeMRc8MTczGgeKJPXTe1diB2cjSq2Cxe7DwlegeUGIBfSLi36v4byz07zfesojV4QmbyzVmYHbMQa3it3wZIGWEIu/7XGZsHa9z4r43d0X92xBreIpzs6TAMnLkSLLhvu1dDNycgulkOtNOr86+7Z51P60nJQMgg14Nh9uHS4v6QCWX444rCuAPCGhw+9FLLUeaWgm724c/fVyJmy424+n39oVlSF5bOh5bv69OuCR1ut4NRNTBiCfSf311BL+8fGhUcXRJ466QJzfuxfVlg9EzQ4slr3yBX1x6HnIMWtxxeQECAOwuH3qrFThlc2Hu85/i/P4G3D29CCtmFMXsPF1eWY2H3t4dt39JovqieOMqSsxGvLfnJMbmZqNnhgaexuGZxQOy8PmhGowZlI07pg3FkRpn2BLYNeNypaaPAxs7/8pkAsw908N2S724+QBev2FCzGZ1i0oHYe22w5ha0FsK6MTuu5/G2CVXcaQOtQ2eqG/YkVualXIZbouTxQhtSxDJYnc37sLbHX2sJYOwbG2wjuf3H3yHvy4eB2zcFxVQ3DezEFc9Fwzmfrp6O/5504W4/83o7GNoXZCYeUk2/+pfXx3BwomDcPNFQ4Jz6PyBYKPP/9/encdFWa7/A//MDMzGNqwiCooOJQgYKrmAWWm5gHpMT5unXI6mmVq/VjthqdlRO1R6Sk0tl29ubXpIO3Ys9GiaZhaipMdQQVBRFtmGYRZm7t8fwzzOMxuDgsDM9X69fL3kYWZ47hmY55r7vu7r+vBwk7uPIhQyLBkXj/NlKsjFXlDrGnD6SjUEEOB4wQ188H0+/t9DMXYLB6Yog/Hp5P44XngDAP/CeLG8zu45N5XrZr6N5QxUtyA5dj47GAEy+8sidruxK+03arX8lN/SSy7czIJVAGz+e81Ii0WYv5R7fa3bqDhbBm+rZOCW6kXWnnZ6tadgzB4KflqORwZAgGkZamB0EBZk5WHugzF4bN0xAMALw2OQ0CWAuxAyoxGLx8VDrTPg0g01IoNkqKzTO619smBMHK5XaxDo442t0weg2qKK9PafL+GJAd0wffMvWD4hEbPvV/K+b8770BsYXn74biyfkIic4ios+fYoNkxJxof7821mNx4f0A3PbvkV/3wyidd53dKP+eV4dmhPuxfL0hqt3TYCcrEIC9LjEOwj4W1BPnO1Gk8O6IYdP18CYCrY+PKXudynVfP5NRgZThZV8mYyzD9/SEwIpgzuju0/F+GNtFh0DpCiTmfA4rHx0OgNqNM1QCwytQspqdHwnqMtx0yVuLPP3VxmsyxqaG+M5pkF651VlrMHOcVVSIq62cbAclbjwyeSoJCLbbYcpyiDcaKoEgkGI/pEBWJKSjR8JKbdPpbbwOViEZZNSETmvnO83mTmBOzSai33mOUq0xJMnygFpqR05z2eZV6QK7uVpN4iPDmgG1cIMlUZjHuslkObmtpXyL2x+adCrqjinAeV+OTwRe51ZgxYfeC83V1wQoEAb6bHIT0hgndhdHTByymuQkSA1GkS8vUaDRcIpiqDoZB7o0ug3O7jOVrOcNbKorWWXJzNLBw5X4FXHu6FJz85ZhPUmzl6z2ntZOCmuJLj05T2tNOrPQVj9tDyV8vx2GeyXKVDQUUdXh3ZC96imxeSVGUI75P1hsMFWPVkX3Tyl2L21t+welJfSLyEzpNlDUYYjAxXqjToHCCFxEuIMpUWKT2DMaFvFyzZc4ZbdrHX4Ry4WWfHcuZFrTMgPaEzFqTFoUqth5/UCz4SEf7x3Tm8OqoXSqrsL9GYCYW2W66HxIQgRRmMPpEBvIKQcrEIG6YkY9X+fLy+8zR3bEFaHEbHd8b1Gg1eeOhu/HD2OvzEXpiWalpmmXlfT7w+KhZ6gxGq+gY8ktQFC7LybJekHjY1+HxyQDdUqnUoLK+DspMfVNoG/PePMiRFKlCp1uOuMF8UVdQhzF8KbeMsU0SAlFvyM2uq6Jp19V1799twuACfTu4PIQT4tbF4onUXd+vlCstdgebbmZfYLFl+mrfOb0ltPC9LjAG5xVX4aP95u48HNN3/qrRGizB/CS9oOny+wuZnAc6n9s1LHQf/KDMtG1pdmJ0VDvwxv9xurRxHF7wNhwuwaWqyw/Ypb6bH4d+N/en6dQvEO+MToG0wIqeo0u5OnaaCDketLFrjU35TMwuaBn5ldOulaev3HD+pN4Ibt4m3h91Jt6Mll9NuV3sKxuyhGaCW47EBUI1GDwFM1Yq/e34Il5vRYLXjSq0z4Lltv2HHMwORqgy22Tlm/elxSEwIJiR1waeHL/IuTObdRk9/ehyrJvXFtNQeEDbxi8yrOqw0/eH9VlSJt9f8hH7dArFobG8IAUxO6Y4Ps/Ob7Iit1hls+mJFBMhwqVwNA2N4c0wcNA0G01KgrwRvfpPHzd5Y5iNYzjKlKoMxrk8ENh6ttgkU5j4Qg5NFlbbVmxVSVKt1iGssYvflzEH4OucKjpyvMC2lWDzOpinJuFKtQZi/FAKBqZ7M9RoNntv2G28WJsxP4jRnyLL6ruX9REIB9j4/BCpNA3wkpkTuxeN6w8iAhVbbsIGbO792PDOQ26nVL0rB7cID7M/MOGuQad7abvncfX/2Op57QAmBg8cDLPpfWeX3WPa/snyezBzlfDm76Ec0Vk4e1CMYF8pULj2es8d1dMHr3y0QUYFyyMQi/P1PCVDpGqDSNMBLJEBNvR5XKusRHxGAXbMHw1fihbe++R0/XajgZuoKy+sQGShHJ3+JS+0YHJ275af8ltoO3dTMgvXfp71K8pYznNkvDrVbhLGjaqnltNvVnoIx0ro8NgDyl3oj+3+lSIpS4LvfS7B4XG9kZOVBLhHZTDWrdQZM2/QLdjwzEL8U3HC6I2vJn+KxfO9ZbjnEvMwRoZDi6U+Po7iyHv/Mzsfzw2KAJgIgyy3KC9LjUKHSIq6zPz58Igk5xVVIb9yFtm36QPx4vgJ9ogKdFq77zarxJAD8e94QeHsLIRMK8PvVaiR2VeDdvefw/PAY3tKVdT6C2eHzFViQlYd7ogJ5Mxvm5Y+5DyoRIBdzAVdhRR20DUbuwjwkJgS5l6sc5jmcaKwvY70sZc7HCZB5479/lOGJ9cfwyeRkm5wh85Lksr1needn2e1+7cGLvCDhX7MHw0/q7bC2z4/nKzClVssVZZzaWDnbWY2bpoIEjf5mUDY1JRrzvz4FxoC/pcVCpWnA9hmmvDPL5Te1zoAtxy5h7oNKZKTFolbTALlYxO0ItB6XmaOAqqmpffNSh3URw6aW4hw9risXvIysPLtB7X0xIRiV0Bk/XaiwO1NnzmtqKuiwd+4PxYbBV+qFC6UqVKp1XM6U+bm/le3Q1WodvIQCp21brP8+5zyodHj79jAT0RpaYjmtJbSXYIy0Lo8NgEJ8xThXUoOpKdHY9vMljIgLR3piBORiEZKiFHaXt04VVyGlZzAG9AjG3789a3dm41qlGq+PioWqsTlqhMIbXiIBLt+ox+ujYxEg84ZGb8Bj645hWmq0011BQT5ibJs+AF4iAa5W1tvdNQOA253kKEcgtbHqr3VRvSExITA2JmrLJV64u5M/tA0NeGXk3ai3unA2NYNhb1nF3G1cLhYhQOYNXYMRV6s1XLXgITEhWDS2NxfI2RuDdU0W8ydgU2PWeIy1aFkyffMv2DjlXswXANcaZ2TMydcvPXw3Xn64F4or1YgKkuPb0yV2u90Dpgt2UzMHflJTUcWjFyu4JGfz74tIIMD4e7pg4Td5XBDVVJDQNVCGTyf3R05xFeZ/fQrLJiTa7Oazrvg7RBnMVc5+4K5Q9O8eBMB0sf210H5RwlQ7LUCA5l1Qw/wkLhcObOpxnV3wmtqNM3lwd4eBuSvtGOzVsnooNgwL0uPw8pe5NrNq5ue+uduhzUnYv14yLataNw529Pd5rqQGS8cn4G+7Tt+RmYj2WvivrbSXYIy0Ho8NgALkYiwaF4+3svIQFxEAtb4BcRH+yCmqwpwHlHZ3tMx5IAa7ck2frKelRmNE707cLqdgXzHe3mPaVj9+zU9YNiERm48UOtzFo9YZcOZqNV4f3Qv491mbWYvJKd2xan8+/jKoO365VIUB3R1X/TVfXO3lJUm9RegRIseSPfwWBZYF6szHLZN+Q/0kvJ/han8kawYjw5ELFdhxvAiP3xuFpEgFMv/cxzQrFiBFuUrLOy/rMfhKvKDRG/HqyF6YLxBApW2An9QL12s0qNXoePctV+nw2LqjmDm0Bx64OwwigQBDY0Jx/12hOHy+HBM//gnTUqNRodI6rFrsaiAgEgpgMDLe45i7wE9JicZj647i8Xuj8Oz9Ski8hQjxkTi8EKdY1Uea86DS4WybAAJsnT4AN+p0yCmu4l6/9IQI7nbOpvCX/Ckeb+85YzPm5lxQrR/fUeHA271Qu7J85SwwP5Rfjjqt83YMcrEI93YP4rWrsA5+gJsfKMxJ065uh7ZOwrb83QaAqCA55GIRFn7zu00bi8Xj4tH5Ds1EtOfCf4S0Fo8NgADTNGfmn/ugXKVDg9GID7NNHd37dwu0aVJ6vUbDJd6qdQaugaL5zffzZwZyOS3mi/g3c1JwpaoePmIv6BqMvN4/KcpgPDOkJ9TaBrw6MhZ/rdNCKBQgUC6Gt1AAAzNiWGwnzN5qWir6dHKAw3GYkmFNM0nWu6CGKEPw19RoPNy7E55/KAZqrcGUPC32gt5o5AU/lksJcx5U8j7Vu7LjyB65RIScokqUq3S8RqRTU6JRdEONUD+pzX2sm6RO3miqnjwkJgRLxydAZzAiSC5GoFxss0Sg1hnwwff5OF5wA2kJnRHfJQBjP7rZ0DUpUoG523Mc7uBbPC6eu7g4C1h+zC9Hn64KpFn8nki9RZCLhQiQemPtU/2gkPETVB1diGc/oMQ0i9k9Zxd1c+E/y+R4e0Gbsyl88+/87VxQrR/fX+aN9x69BypNQ4tdqF1ZvmoqMK+p16NHqPN2DJbneKFU5XLStCuJ0tazWNZ/n9kvDkWXQLnT16S1ZyLae+E/QlqLRwdAwM03l5Kqerz40F34+7/Pok8XBa5Ua9ApQIYgHzEMRsZburG3m0ilbeC9sfWLUmDPqRKs+CEfa5/qh7MlNbj/rlCkKkMgF4vgJRRA7C2ERmfAo2uP3uzNpQzGa6Ni8ejaY3jmvh74fOZAlNZoEeoncbjj58zVart1hYY0ziT937FCPDmgG/75Qz73qRIwvfGZL/LWSwnWS1HOljkcLasMiQmBwcjw4kN347WRApRUa+AlFHDbuXfNHozfr1Y7LSIY5CPGV7MGIUDmbbf67tLxCXh952m71bqFAuDAuVLe7bUNRqc7+GrqdQB8HM6iWC9XLEiLRecAGS7dqANjDIcbl+36dwu0uXA4CkrUOgP6dwvkfk5zZtuczbI4unC21AXV3uN08r/th+U0tRuntFaLMKuZSmvNaccANK9NhSvboV2tKdOWyy3tvfAfIa3F4wMgwBQIvPrVKZy9VoONU5IhEgqQW2TagmxeFrr/rlAkRSoAwKYei3UAYO4ZZL5I+km8eB3nLQOor2YNwuczB3KNUrsHySESCdC/WyBW/JCPdYdMy239owKRkR6HJd+etclNeLKxrtDj90ZxF/ToEB+IhAAD8PqoWIiEAtPSk8UbmeVF3nrWwTpICJR7Y2LfrngzK88mIFg8Lh7vfMtfVkltLOr45PqfeUGjuR7NkJgQhPtLEe4vRVJUoKnliFWhunf+FI+oYB/0CHX82nUNkmPZhASUNdbOMVfrPnetFt2C5byt8gB/udDeLMv4e7pw/zcHLCXVGlwsr4PUW8T1E8v8cx8uaOocoMGzW/jb1B1dOOxd6ALk4AVGUm/7LTPMeoT4cIna7pyY2dRuHAD4b+PW/JYqDuhq0rSrj93ea8oA7b/wHyGtRcCs23a3YzU1NQgICEB1dTX8/Vvuo2b+9Vo89MEhAKaloM+fGQgfiRevfo1cLMKnk/tj9YELNrMNr47oBbFIgIIKNXdRNO8YGaIMwdxhStRqGngzDRsOFyApSoEki6J098WEcLMGV6vqbd74h8eGYeGY3qjXG1Bdr+eW1Sx3BgGmmZOPmjFtXa3W4Y9SFf788VGHt/nX7MG4JyqQS5Ss1ejhI/GCt0iASrUOCpkY1Y3LH0KBAEftnJe59cTJokoseyQRXYPkqFbr8NKXuejV2Z9ro2B+js6V1NgEbc7GYG9mxbqdwdJHEvDv0yUOd9bYm+7PKarE+NX2u3cD9uv+WD5nzVWt1mFuY7Ktq+fo6uN2xCRXe6+t+byr1TpUqvVYYLVb7FbbVjh77s2/v6eKq1x+7NZ6LVvShVIVhr1/0OH33W27fUfVWtc/T0YzQACq6m9+wlHrDCit1SLvXCkvv0PiJeRaPMy6vycMjEHfYEROcRVWZv+BF4bfha0/87utD4kJwcIxvWFkDB9m51u1SQhBRnosrlVrMedBJc6V1PDyT1zZhnm1qh4fH7xgkzzZ3MTTALkYQU3c3nopwVHS5KKxvZH24WG7CcZHzlfgb6Ni8URyJFe5t1ylww9nS/HD2VKb25u/78pYXJlZMT+HQ+8KbVaNj1vZSg3c+qf71qhD0pGTXJ0tD5m/91ELJQo7eu7NOxYBYEZq9C0njJu1p5oy7b3wHyGthQIgAD5WXbrNXeKfHNANG6x246QqgxHf5WayszknZNom/hKUebu7OUH0zTG9YWAMKk0DN3Nj7v1kTu61/kTZVF5AS9aqaM6boLOkyTe/cdxzDDDlUFi2LWjt6ffmBEaOnjdnz01LbCu3pyVfW09Icm3JHJqWrgHT3mvKdIQgjZDWQAEQAB+xFy+PwJwAbN19PVDujS4KGdR6Az5+qh+MRoYgHzFW/PAHb5eTuXCh3mCqqqwzGBEoF0PqJcScb3Ns+xLll+Nvu07f0oWoJRNaXX0TdJY0aW7h4fDnWLWsaKscieY8b629rbwlztEZSnJtvpZOSm7vNWXae5BGSGugAAimZo+WvYfMCcAZabHo01WB6no9wv2l+P7sdaw7dNHuzI+5w3mQXIwIhRQLd//OqzxsqhKdgLMlNXbPoT1ciFx9E2xq1sYRe7MiHWX6vbW3lbcmSnIlrmjvQRohLY0CIJj+8LsFyZGeGMHL+Smt0cJHIsKZq9WY/n9neHkt5oJvj98bxc38pCqD8ffxCXh912m7Rewy/nUayyck8mq4WGoPFyJX3gSbmrXpGiizCWoczYp0pOn31t5W3lo6wk4kQgi50ygAatS5sdmj5Sf5XuF+uFypxitfn7Z7n8PnK/BGWhzuiwmFv9QLPmIRVDqD3S255tu/NqqXw3PoKBeipmZtwv2lzZpOp+n31tVRZtkIIeROogDIgr1P8pZdvu3R6g24NzqI+/p4wQ2nt6/T2u6OAjrWhcjVWZvm7kSjgKd1dKRZNkIIuVMoAGpCgMy17eFm/lLnT2mAzNvl5aH2jGZtOhZ6vQghhI8CoCY0d/kg0EeMVGUwrymkWaoyGEE+Yre5ENGsTcdCrxchhNzkvMMl4ZYP7osJ4R13NGvTyV+Kd8YnIFXJ795uTpDu5C9FgFyMnmG+uCcqED3DfOmiRAghhNxh1ArDRdbl+H2lXlBrG6A3MhgZg1rbgIDGWj/v7TuHtMQIhPlLoNIY4C/1QoDcG10tCgASQgghrqJWGC2PlsBcZLl8cLWqHm/sOo3H743idVAHbnYLn2vRLBVoP31/CCGEEEJLYM1mbivQq7O/TfADmLa6bzxSgGmp0bzj5kKHhBBCCGl7FAA1k7mtQFKkwmG9nyPnK5AUqbA53h4KHRJCCCGEAqBmq9HoIReL4C1y/tRpG4w2xzpKoUNCCCHE3VEA1EwBMm/884kkiIQCp7eTePGf2o5U6JAQQghxdxQANZOPxAsbjxTg6MUKpFhtdTdLVQYjp7iK+7ojFjokhBBC3BntAmsmlaYBR85XIKeoCv98IgkAeLlAQ2JCsHR8AnQGI4b3CuvQhQ4JIYQQd0UBUDPVNCYyq3UGzNueg2mp0bwO8lFBcnQNono/hBBCSHtGAVAz+VskMqt1Bny0/zzv+9kvDr3Tp0QIIYSQZqIcoGYy9wazhxKdCSGEkI6BAqBmam5vMEIIIYS0P7QEdgsiFDK36ehOCCGEeCIKgG6RZW8wQgghhHQstARGCCGEEI9DARAhhBBCPA4FQIQQQgjxOBQAEUIIIcTjUABECCGEEI9DARAhhBBCPA4FQIQQQgjxOBQAEUIIIcTjUABECCGEEI9DARAhhBBCPA4FQIQQQgjxOBQAEUIIIcTjUABECCGEEI/TobrBM8YAADU1NW18JoQQQsit8fPzg0AgaOvT8HgdKgCqra0FAERGRrbxmRBCCCG3prq6Gv7+/m19Gh5PwMzTKh2A0WjE1atXWyx6rqmpQWRkJIqLiz3ml5HGTGN2VzRmGnNHcSvXMMYYamtrafaoBXWoGSChUIiuXbu2+OP6+/t32D+kW0Vj9gw0Zs9AY3Z/AoHAo8Z7J1ASNCGEEEI8DgVAhBBCCPE4Hh0ASSQSvPXWW5BIJG19KncMjdkz0Jg9A42ZkFvXoZKgCSGEEEJagkfPABFCCCHEM1EARAghhBCPQwEQIW6ioqICP/30E8rLy9v6VAghpN3z2AAoLy8PycnJCAwMxCuvvAJ3TYWqqKhAdHQ0CgsLuWPuPPasrCz06NEDXl5eGDBgAM6ePQvAvccMADt27IBSqcRzzz2HqKgo7NixA4D7jxsARo4ciU2bNgFw7/HOnTsXAoGA+6dUKgG495gtzZ8/H2PGjOG+9pRxk9bjkQGQVqvFmDFj0K9fP5w4cQJnzpzh3kDdSXl5OdLT03nBjzuP/cKFC5g6dSqWLVuGK1euoFu3bpg+fbpbjxkAqqqqMHfuXPz444/IycnB2rVr8dprr7n9uAFg69at+M9//gPAvX+3AeDXX3/Ft99+i8rKSlRWViInJ8ftx2yWl5eH1atXY8WKFQDc/7UmdwjzQLt27WKBgYGsrq6OMcbYyZMnWUpKShufVcsbNmwYW7FiBQPACgoKGGPuPfbdu3ezNWvWcF/v37+ficVitx4zY4wVFRWxLVu2cF/n5uYyPz8/tx93RUUF69SpE7v77rvZxo0b3Xq8er2e+fn5sdraWt5xdx6zmdFoZIMHD2YLFizgjnnCuEnr88gZoNzcXAwcOBByuRwAkJiYiDNnzrTxWbW8devW4fnnn+cdc+exp6enY9asWdzX586dg1KpdOsxA6bmwJMmTQIA6PV6ZGZm4pFHHnH7cb/00ksYP348Bg4cCMC9f7dPnToFxhjuueceyGQyjBw5EkVFRW49ZrP169fj5MmTiI6Oxp49e6DX6z1i3KT1eWQAVFNTg+joaO5rgUAAkUiEysrKNjyrltejRw+bY54ydp1Oh8zMTMyePdtjxpybm4tOnTph3759WLFihVuP+8CBA8jOzsby5cu5Y+483rNnz6J3797Yvn07zpw5A29vb8ycOdOtxwwAKpUKGRkZiImJweXLl/H+++/jvvvuc/txkzvDIwMgLy8vmyqiUqkUarW6jc7ozvGUsWdkZMDX1xfPPPOMx4w5MTER2dnZ6N27N6ZOneq249ZoNJg5cybWrFnDaw7pruMFgEmTJuHYsWNITk5GdHQ0PvroI+zbtw9Go9FtxwwAO3fuRF1dHfbv348FCxZg3759qKqqwoYNG9x63OTO8MgAKCgoCGVlZbxjtbW1EIvFbXRGd44njP3777/Hxx9/jG3btsHb29sjxgyYPgUnJSVh06ZNyMrKcttxv/3220hOTkZaWhrvuLuO1x6FQgGj0Yjw8HC3HvPly5cxYMAABAUFATAFuYmJidBoNG49bnJneGQAlJycjGPHjnFfFxYWQqvVcn9k7szdx37x4kVMmjQJa9asQVxcHAD3H/P+/fvxyiuvcF97eXkBAHr16uWW4962bRuysrKgUCigUCiwbds2zJ49G5s3b3bL8QLAiy++iC+++IL7+pdffoFQKERCQoLbjhkw5bfV19fzjl26dAnvvfeeW4+b3CFtnYXdFvR6PQsNDWWbN29mjDE2c+ZMlp6e3sZn1XpgsQvMnceuVqtZbGwsmzFjBqutreX+6XQ6tx0zY4xduXKF+fn5sbVr17KioiL29NNPsxEjRrjta11cXMwKCgq4fxMmTGD/+Mc/WFlZmVuOlzHGNm/ezJRKJTt48CDLzs5mvXr1YtOmTXPb19isoqKCBQQEsDVr1rDi4mK2cuVKJpFIWH5+vluPm9wZHhkAMWbaRimTyVhYWBgLDg5meXl5bX1KrcYyAGLMfce+a9cuBsDmX0FBgduO2ey7775jsbGxzM/Pj02cOJGVlpYyxtz3tbY0efJktnHjRsaYe493/vz5TKFQsMjISDZv3jymUqkYY+49ZsYYO3r0KBs8eDCTyWQsOjqa7dq1izHm/uMmrc+ju8FfuXIFJ06cwODBgxEaGtrWp3NHeeLYPXHMgOeN29PGC3jmmAHPHTdpGR4dABFCCCHEM3lkEjQhhBBCPBsFQIQQQgjxOBQAEUIIIcTjUABECLHLutBcUxhjWLp0KRoaGpzebtmyZdBoNLdzaoQQctsoACKkHfv4448xffp03rHhw4fjxIkTLt1fr9fj+vXrOH36NPbu3YuVK1fiiSeewPbt253er6qqCl26dEFubq7L57p48WJcvHiRK8Roqa6ujguoGhoa8Oyzz7r8uIQQ0hps36kIIe2GVCqFQqHgvt69ezcOHTrE63q/cuVKpKSkADDN2vTt2xd1dXXQarXw8vKCwWCAj48PkpOTER4ejp49e0Io5H/2SU1NRVlZGXx9fSEQCMAYg6+vLyZOnIiAgAAAgFarhUqlwieffIJhw4bx7v+///0PO3fu5AKzpUuX4v3338eOHTswbNgwbN26FaNGjQJg6tM2fPhwHDhwAA888ECLP2eEEOIK2gZPSDtUUlKC8+fPY9++fbhw4QJmz56NuLg4DB06FN9//z3Cw8OxefNmbNiwAQcPHuTdt7KyEmKxGHK5HAKBABkZGbh8+TI2bdrk8OeVlZVBJpPB19cXAPDXv/4VSqUS8+fPh0AgAAAYDAacOnUK8fHx8Pb25t3/qaeewsSJEzFu3DgAQHR0NN5//31s374dX3zxBRYsWIC3336bu31ubi5eeOEFHDhwoCWeLkIIaTaaASKkHfrtt9/w7rvvoqysDCqVChcuXIBQKMTLL7+M8PBwGI1GLF++HJ999pnNfSUSCcRiMRe4WDMYDNBqtZDL5dyxlStXYv/+/dizZw/Onz+PQ4cOYfHixViyZAnKy8vxwQcfYNasWTh+/Dh+/fVX3uPp9XocOXIEGzdu5I4xxtCnTx+sWrUKhw8fRmpqKu8+ffr0wY0bN1BaWoqwsLDbeaoIIeSWUA4QIe1QWloaDh48iFdffRWPPvoo9u/fj9jYWMybNw/x8fGIiIhARUUFJk+eDJlMhsLCQu6+8fHxCAkJ4f6Zl6Isj8XHx/N+3uLFizFw4ED88MMPGDVqFPr374/Vq1fj888/x7x587Bnzx4UFBTg0KFDNjk+ly5dQo8ePXjHGWO4fv06/Pz8sG/fPjz88MM2Y0xOTkZeXl7LPnGEEOIimgEipJ27du0atm/fjqeffho1NTX46quv8MYbb8Df3x+vvfYa+vfvz7v9xYsXeV+7sgQmFAqxaNEilJeX47333kNhYSH27t2LLVu2IC8vD8OHD0dVVRX8/Pxs7ltWVmYzi5OWloahQ4ciMzMTAoHA7mxUaGgoSktLm/FMEEJIy6EZIELaodraWnz++ef45JNPcOrUKXTt2pX3/YqKCi5fx8xoNEKn07n8M3Q6HRhj0Ov1WL9+PZKSkrB3716cOnUKW7duxYwZM/D1119jwoQJ2L17N7KysjBw4ECbAMvX1xe1tbW8Y6tXr0ZZWRmMRiP69OmDuLg4vPTSSzZjtB4DIYTcKZQETUg7dObMGSxZsgRKpRJqtRoRERFYtWoV6urqEB4ejsLCQshkMnTq1AmXL1+GQqHAqlWrMH78eMhkMt6Mi1qthtFo5AUbjDHU19cjJycHkZGRGDFiBFasWIHY2FhMmTIFgwYNQkZGBrZs2YJLly6hsrISixYtwpYtWzBhwgTIZDLusaqqqpCammqznGU0GrFo0SKo1WqEh4dj9erVyM3N5c5j9OjRWL58ORISElr52SSEEFsUABHSjm3atAl5eXnIzMzkjuXn52PQoEGQSqX4+eef0aVLF6eP0dQSmF6vB2MMYrGYd1yhUODEiRNQKpXcMYPBAL1eD6lUyrvt4MGD8dlnn6Fnz57csT179iAkJATr16/HpEmTsHDhQmzduhWRkZFQqVTo168fzp075+pTQQghLYpygAjpQEpKSjB27FgsXLgQYrEYjz32GPbu3Ws3N8dV77zzDnbs2AGJRMKbOaqtrcXYsWN5gZHRaIRQKMTJkyd5jzFr1iwsWbKEtxPs2LFjWLJkCb788kvk5+fj2rVrXE2jzMxMTJ48+ZbPmRBCbhcFQIS0UyUlJVxlZbVajW3btiEjIwMvvPAC5syZA8C0Xb5fv3744IMPMHr0aLvJxrW1tQ63xAPAwoULsXDhQpvjCoUC33zzDW8GyJGnnnoK69evx+7duzFmzBiUl5cjJiYGAPCXv/wFaWlpGD16NPz8/HDixAl89dVXLlezJoSQ1kBLYIS0UzNmzMDx48exbt06ZGVl4ejRo3j33XeRnJzMu93y5cvx5ZdfIjs7m6vaDABXrlzB0KFDcfHiRbz77rt4+eWXm/XzpVIpjh8/jsTERJduf/XqVUycONHuVnlLI0aMQGZmJuX+EELaFAVAhHQAjDGnsziOvr9z5050794dffv2bc3T4xgMBohEotu+DSGEtDYKgAghhBDicagOECGEEEI8DgVAhBBCCPE4FAARQgghxONQAEQIIYQQj0MBECGEEEI8DgVAhBBCCPE4FAARQgghxONQAEQIIYQQj0MBECGEEEI8DgVAhBBCCPE4/x87XeZ7/Yhe5wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "factor='换手率(%)'\n",
    "target='return_10_shift'\n",
    "\n",
    "j=sns.jointplot(x=factor, y=target, data=s_x,kind='scatter')\n",
    "r, p = spearmanr(s_x[factor], s_x[target])\n",
    "print(f'{r:,.2%} ({p:.2%})')#R为相关系数 P为对应的P值"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dcd52d6",
   "metadata": {},
   "source": [
    "#### 特征矩阵的多因子相关性分析\n",
    "\n",
    "* sns.clustermap\n",
    "\n",
    "`sns.clustermap` 是 Seaborn 库中的一个高级函数，用于生成带有层次聚类的热力图（Hierarchical Clustering Heatmap）。它的主要目的是对数据矩阵（如相关系数矩阵、表达数据等）进行可视化，并通过行和列的聚类来揭示数据内部的结构和模式。\n",
    "\n",
    "`sns.clustermap` 的意义和特点包括：\n",
    "\n",
    "1. **数据结构发现**：通过对数据集的行和列应用层次聚类算法（如平均链接法、单连接法、完全连接法等），`clustermap` 可以发现数据中的隐藏群体或模块，这对于探索复杂数据集中的自然分组尤为有用。\n",
    "\n",
    "2. **热力图可视化**：以颜色编码的方式展示数据值，颜色的深浅代表数值的高低，直观地展示数据矩阵中的数值分布和强度。这对于观察变量间相对大小和模式非常有帮助。\n",
    "\n",
    "3. **聚类指示**：通过 dendrogram（树状图）展示行和列的聚类关系，用户可以直接从图中读取哪些行（或列）被聚类在一起，从而理解数据的分组依据。\n",
    "\n",
    "4. **交互式探索**：生成的热力图通常具有交互性（取决于使用的环境，如 Jupyter Notebook），用户可以放大、缩小或悬停查看具体的数值，便于详细分析。\n",
    "\n",
    "5. **高级定制**：提供了丰富的参数选项，允许用户自定义颜色方案、聚类方法、距离度量、注释、图例等，以满足特定分析需求。\n",
    "\n",
    "总的来说，`sns.clustermap` 是一个强大的数据分析和可视化工具，尤其适用于生物学（如基因表达分析）、社会科学、市场研究等领域中，需要从大规模数据集中寻找模式、相关性和分类的场景。通过同时展示数据的数值强度和结构关系，它极大地增强了数据探索和解释的能力。\n",
    "\n",
    "* sns.PairGrid\n",
    "\n",
    "`sns.PairGrid` 是 Seaborn 库中的一个灵活的图形接口，用于创建成对关系的子图网格，主要用于绘制数据集中所有变量两两之间的关系图。这对理解多维数据集中的变量间相互作用非常有帮助。其意义和功能主要包括：\n",
    "\n",
    "1. **灵活的布局**：`PairGrid` 会为数据集中的每一对变量创建一个子图，你可以自定义这些子图中显示的内容，比如在非对角线位置上绘制散点图表示两个变量之间的关系，在对角线位置上显示直方图或核密度估计图来展示单个变量的分布。\n",
    "\n",
    "2. **自定义绘图类型**：通过 `map` 或 `map_upper`, `map_lower`, `map_diag` 方法，用户可以指定在每个子图上绘制何种类型的图表，比如散点图(scatterplot)、线性回归图(regplot)、核密度图(kdeplot)等，这使得 `PairGrid` 极其灵活，能够适应多种数据分析需求。\n",
    "\n",
    "3. **分组和着色**：通过 `hue` 参数，可以在图表中根据另一个变量对数据点进行分组和着色，这对于探索第三个变量如何影响对变量间的关系尤为重要，增加了可视化分析的维度。\n",
    "\n",
    "4. **高级控制**：`PairGrid` 提供了对每个子图的精细控制，允许用户调整图表的各个方面，如颜色、标记样式、标签等，以更好地讲述数据故事。\n",
    "\n",
    "简而言之，`sns.PairGrid` 的核心意义在于提供了一种机制，用于系统性地探索数据集中所有变量之间的成对关系，同时保留了高度的可定制性，使数据科学家和分析师能够深入挖掘数据中的模式和关联，特别是在探索性数据分析阶段。\n",
    "\n",
    "* sns.jointplot\n",
    "\n",
    "`sns.jointplot` 是 Seaborn 库中的一个功能强大的函数，用于创建联合分布图（Joint Distribution Plot）。这种图表主要用于可视化两个连续变量之间的关系，同时提供它们各自分布的概览。Jointplot 结合了散点图（展示两个变量之间的成对关系）和单变量分布的可视化（通常是直方图或核密度估计图，KDE），从而在一个图表中提供了两种变量联合及边际分布的完整视图。\n",
    "\n",
    "`sns.jointplot` 的意义和特点包括：\n",
    "\n",
    "1. **双变量关系展示**：通过散点图（默认类型）展示两个连续变量之间的相互关系，如相关性、聚集模式等。\n",
    "\n",
    "2. **边际分布**：除了中心的散点图，图表两侧或顶部底部还会显示每个变量的分布，通常使用直方图或核密度估计图（KDE plot），帮助理解每个变量的单独分布特性。\n",
    "\n",
    "3. **多种可视化选项**：`jointplot` 允许用户选择不同的图形类型（如散点图 scatter、回归线 reg、残差图 resid、核密度图 kde、六边形图 hex）以及统计函数来进一步分析变量间的关系。\n",
    "\n",
    "4. **探索性分析**：非常适合探索性数据分析，因为它快速提供了关于两个变量如何一起变化以及它们各自的分布情况的信息，有助于假设检验和发现潜在的相关性。\n",
    "\n",
    "5. **灵活定制**：用户可以根据需要调整颜色、大小、比例等图表属性，以及添加额外的统计拟合线，以更好地解释或描述数据特性。\n",
    "\n",
    "总之，`sns.jointplot` 提供了一种强大的方式来综合分析两个连续变量之间的复杂关系，并且通过边际分布的展示，使得对这两个变量的单独理解以及它们之间的联合分布有了更加全面的视角，这对于统计分析和数据探索而言是非常有价值的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "649f650e",
   "metadata": {},
   "outputs": [
    {
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       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>成交额(千元)</th>\n",
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       "      <th>市盈率(静态)</th>\n",
       "      <th>市盈率(TTM)</th>\n",
       "      <th>...</th>\n",
       "      <th>Bupper</th>\n",
       "      <th>Bmiddle</th>\n",
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       "      <td>0.999705</td>\n",
       "      <td>0.999793</td>\n",
       "      <td>0.999477</td>\n",
       "      <td>0.264229</td>\n",
       "      <td>0.517218</td>\n",
       "      <td>-0.090651</td>\n",
       "      <td>-0.014127</td>\n",
       "      <td>0.089178</td>\n",
       "      <td>-0.013857</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999069</td>\n",
       "      <td>0.999470</td>\n",
       "      <td>0.998888</td>\n",
       "      <td>0.017063</td>\n",
       "      <td>0.030203</td>\n",
       "      <td>-0.020763</td>\n",
       "      <td>0.026709</td>\n",
       "      <td>0.870292</td>\n",
       "      <td>-0.036232</td>\n",
       "      <td>-0.011495</td>\n",
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       "    <tr>\n",
       "      <th>high</th>\n",
       "      <td>0.999705</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999709</td>\n",
       "      <td>0.999819</td>\n",
       "      <td>0.266785</td>\n",
       "      <td>0.521403</td>\n",
       "      <td>-0.087192</td>\n",
       "      <td>-0.009742</td>\n",
       "      <td>0.090280</td>\n",
       "      <td>-0.013871</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999096</td>\n",
       "      <td>0.999281</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.021515</td>\n",
       "      <td>0.033702</td>\n",
       "      <td>-0.020788</td>\n",
       "      <td>0.046398</td>\n",
       "      <td>0.878061</td>\n",
       "      <td>-0.036282</td>\n",
       "      <td>-0.012184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low</th>\n",
       "      <td>0.999793</td>\n",
       "      <td>0.999709</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999749</td>\n",
       "      <td>0.264018</td>\n",
       "      <td>0.515705</td>\n",
       "      <td>-0.091977</td>\n",
       "      <td>-0.015064</td>\n",
       "      <td>0.088546</td>\n",
       "      <td>-0.013821</td>\n",
       "      <td>...</td>\n",
       "      <td>0.998807</td>\n",
       "      <td>0.999336</td>\n",
       "      <td>0.998895</td>\n",
       "      <td>0.019690</td>\n",
       "      <td>0.031596</td>\n",
       "      <td>-0.020857</td>\n",
       "      <td>0.041500</td>\n",
       "      <td>0.866270</td>\n",
       "      <td>-0.036059</td>\n",
       "      <td>-0.011516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>close</th>\n",
       "      <td>0.999477</td>\n",
       "      <td>0.999819</td>\n",
       "      <td>0.999749</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.265716</td>\n",
       "      <td>0.519259</td>\n",
       "      <td>-0.089086</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>0.089552</td>\n",
       "      <td>-0.013847</td>\n",
       "      <td>...</td>\n",
       "      <td>0.998797</td>\n",
       "      <td>0.999127</td>\n",
       "      <td>0.998468</td>\n",
       "      <td>0.023543</td>\n",
       "      <td>0.034669</td>\n",
       "      <td>-0.020904</td>\n",
       "      <td>0.059016</td>\n",
       "      <td>0.873539</td>\n",
       "      <td>-0.036127</td>\n",
       "      <td>-0.012102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>volume</th>\n",
       "      <td>0.264229</td>\n",
       "      <td>0.266785</td>\n",
       "      <td>0.264018</td>\n",
       "      <td>0.265716</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.562242</td>\n",
       "      <td>0.236022</td>\n",
       "      <td>0.160999</td>\n",
       "      <td>0.008093</td>\n",
       "      <td>-0.002737</td>\n",
       "      <td>...</td>\n",
       "      <td>0.266014</td>\n",
       "      <td>0.263493</td>\n",
       "      <td>0.260465</td>\n",
       "      <td>0.124967</td>\n",
       "      <td>0.139350</td>\n",
       "      <td>-0.042174</td>\n",
       "      <td>0.057300</td>\n",
       "      <td>0.287644</td>\n",
       "      <td>-0.049274</td>\n",
       "      <td>-0.060685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>成交额(千元)</th>\n",
       "      <td>0.517218</td>\n",
       "      <td>0.521403</td>\n",
       "      <td>0.515705</td>\n",
       "      <td>0.519259</td>\n",
       "      <td>0.562242</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.158279</td>\n",
       "      <td>0.110787</td>\n",
       "      <td>0.076599</td>\n",
       "      <td>-0.011711</td>\n",
       "      <td>...</td>\n",
       "      <td>0.521461</td>\n",
       "      <td>0.515964</td>\n",
       "      <td>0.509420</td>\n",
       "      <td>0.108808</td>\n",
       "      <td>0.128115</td>\n",
       "      <td>-0.036881</td>\n",
       "      <td>0.085270</td>\n",
       "      <td>0.567925</td>\n",
       "      <td>-0.050818</td>\n",
       "      <td>-0.049923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>换手率(%)</th>\n",
       "      <td>-0.090651</td>\n",
       "      <td>-0.087192</td>\n",
       "      <td>-0.091977</td>\n",
       "      <td>-0.089086</td>\n",
       "      <td>0.236022</td>\n",
       "      <td>0.158279</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.338333</td>\n",
       "      <td>0.052955</td>\n",
       "      <td>-0.004034</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.086970</td>\n",
       "      <td>-0.091945</td>\n",
       "      <td>-0.097297</td>\n",
       "      <td>0.290629</td>\n",
       "      <td>0.325496</td>\n",
       "      <td>-0.075585</td>\n",
       "      <td>0.044505</td>\n",
       "      <td>0.018934</td>\n",
       "      <td>-0.092796</td>\n",
       "      <td>-0.139861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>量比</th>\n",
       "      <td>-0.014127</td>\n",
       "      <td>-0.009742</td>\n",
       "      <td>-0.015064</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>0.160999</td>\n",
       "      <td>0.110787</td>\n",
       "      <td>0.338333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.003494</td>\n",
       "      <td>-0.000190</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.012807</td>\n",
       "      <td>-0.015738</td>\n",
       "      <td>-0.018930</td>\n",
       "      <td>0.275506</td>\n",
       "      <td>0.165140</td>\n",
       "      <td>0.017400</td>\n",
       "      <td>0.088288</td>\n",
       "      <td>0.097146</td>\n",
       "      <td>0.007653</td>\n",
       "      <td>-0.026199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市盈率(静态)</th>\n",
       "      <td>0.089178</td>\n",
       "      <td>0.090280</td>\n",
       "      <td>0.088546</td>\n",
       "      <td>0.089552</td>\n",
       "      <td>0.008093</td>\n",
       "      <td>0.076599</td>\n",
       "      <td>0.052955</td>\n",
       "      <td>0.003494</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064914</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090464</td>\n",
       "      <td>0.089004</td>\n",
       "      <td>0.087314</td>\n",
       "      <td>0.043069</td>\n",
       "      <td>0.058449</td>\n",
       "      <td>-0.037247</td>\n",
       "      <td>0.015402</td>\n",
       "      <td>0.113155</td>\n",
       "      <td>-0.037474</td>\n",
       "      <td>-0.017118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市盈率(TTM)</th>\n",
       "      <td>-0.013857</td>\n",
       "      <td>-0.013871</td>\n",
       "      <td>-0.013821</td>\n",
       "      <td>-0.013847</td>\n",
       "      <td>-0.002737</td>\n",
       "      <td>-0.011711</td>\n",
       "      <td>-0.004034</td>\n",
       "      <td>-0.000190</td>\n",
       "      <td>0.064914</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.013865</td>\n",
       "      <td>-0.013793</td>\n",
       "      <td>-0.000929</td>\n",
       "      <td>-0.001472</td>\n",
       "      <td>-0.005056</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.013096</td>\n",
       "      <td>-0.002504</td>\n",
       "      <td>0.006322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市盈率(动态)</th>\n",
       "      <td>-0.006650</td>\n",
       "      <td>-0.006444</td>\n",
       "      <td>-0.006620</td>\n",
       "      <td>-0.006480</td>\n",
       "      <td>0.006925</td>\n",
       "      <td>0.002864</td>\n",
       "      <td>0.008040</td>\n",
       "      <td>0.004834</td>\n",
       "      <td>0.187653</td>\n",
       "      <td>0.026355</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006642</td>\n",
       "      <td>-0.006784</td>\n",
       "      <td>-0.006934</td>\n",
       "      <td>0.021869</td>\n",
       "      <td>0.027733</td>\n",
       "      <td>-0.006451</td>\n",
       "      <td>0.004959</td>\n",
       "      <td>-0.002125</td>\n",
       "      <td>-0.008292</td>\n",
       "      <td>-0.009321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市净率</th>\n",
       "      <td>0.529065</td>\n",
       "      <td>0.531361</td>\n",
       "      <td>0.527876</td>\n",
       "      <td>0.530145</td>\n",
       "      <td>0.009208</td>\n",
       "      <td>0.326436</td>\n",
       "      <td>0.050350</td>\n",
       "      <td>-0.000940</td>\n",
       "      <td>0.356255</td>\n",
       "      <td>-0.018708</td>\n",
       "      <td>...</td>\n",
       "      <td>0.531209</td>\n",
       "      <td>0.528536</td>\n",
       "      <td>0.525071</td>\n",
       "      <td>0.077186</td>\n",
       "      <td>0.109017</td>\n",
       "      <td>-0.034357</td>\n",
       "      <td>0.056080</td>\n",
       "      <td>0.532679</td>\n",
       "      <td>-0.067487</td>\n",
       "      <td>-0.027984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市销率</th>\n",
       "      <td>0.466969</td>\n",
       "      <td>0.467603</td>\n",
       "      <td>0.466924</td>\n",
       "      <td>0.467509</td>\n",
       "      <td>0.119874</td>\n",
       "      <td>0.289776</td>\n",
       "      <td>-0.001966</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>0.331218</td>\n",
       "      <td>-0.001123</td>\n",
       "      <td>...</td>\n",
       "      <td>0.466758</td>\n",
       "      <td>0.466771</td>\n",
       "      <td>0.466309</td>\n",
       "      <td>0.045899</td>\n",
       "      <td>0.064405</td>\n",
       "      <td>-0.032081</td>\n",
       "      <td>0.036729</td>\n",
       "      <td>0.421357</td>\n",
       "      <td>-0.050793</td>\n",
       "      <td>-0.022130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>市销率(TTM)</th>\n",
       "      <td>0.435704</td>\n",
       "      <td>0.436223</td>\n",
       "      <td>0.435900</td>\n",
       "      <td>0.436323</td>\n",
       "      <td>0.143457</td>\n",
       "      <td>0.279923</td>\n",
       "      <td>0.003902</td>\n",
       "      <td>0.002282</td>\n",
       "      <td>0.312162</td>\n",
       "      <td>0.006566</td>\n",
       "      <td>...</td>\n",
       "      <td>0.435093</td>\n",
       "      <td>0.435405</td>\n",
       "      <td>0.435302</td>\n",
       "      <td>0.050737</td>\n",
       "      <td>0.070722</td>\n",
       "      <td>-0.026345</td>\n",
       "      <td>0.037805</td>\n",
       "      <td>0.386935</td>\n",
       "      <td>-0.044346</td>\n",
       "      <td>-0.019310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>股息率(%)</th>\n",
       "      <td>-0.132598</td>\n",
       "      <td>-0.133366</td>\n",
       "      <td>-0.132085</td>\n",
       "      <td>-0.132753</td>\n",
       "      <td>-0.047406</td>\n",
       "      <td>-0.122008</td>\n",
       "      <td>-0.066181</td>\n",
       "      <td>0.002478</td>\n",
       "      <td>-0.225676</td>\n",
       "      <td>-0.017303</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.133778</td>\n",
       "      <td>-0.132625</td>\n",
       "      <td>-0.131226</td>\n",
       "      <td>-0.026527</td>\n",
       "      <td>-0.037571</td>\n",
       "      <td>0.023443</td>\n",
       "      <td>-0.010475</td>\n",
       "      <td>-0.141751</td>\n",
       "      <td>0.041766</td>\n",
       "      <td>0.011162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>股息率(TTM)(%)</th>\n",
       "      <td>-0.082424</td>\n",
       "      <td>-0.082907</td>\n",
       "      <td>-0.082133</td>\n",
       "      <td>-0.082560</td>\n",
       "      <td>0.033595</td>\n",
       "      <td>-0.062001</td>\n",
       "      <td>-0.028846</td>\n",
       "      <td>-0.002951</td>\n",
       "      <td>-0.186442</td>\n",
       "      <td>-0.021901</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.083090</td>\n",
       "      <td>-0.082377</td>\n",
       "      <td>-0.081513</td>\n",
       "      <td>-0.023195</td>\n",
       "      <td>-0.029322</td>\n",
       "      <td>0.010738</td>\n",
       "      <td>-0.007749</td>\n",
       "      <td>-0.087681</td>\n",
       "      <td>0.011081</td>\n",
       "      <td>-0.002025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>总股本(万股)</th>\n",
       "      <td>0.147477</td>\n",
       "      <td>0.146889</td>\n",
       "      <td>0.148188</td>\n",
       "      <td>0.147493</td>\n",
       "      <td>0.409246</td>\n",
       "      <td>0.178259</td>\n",
       "      <td>-0.063773</td>\n",
       "      <td>-0.004904</td>\n",
       "      <td>-0.040020</td>\n",
       "      <td>-0.005291</td>\n",
       "      <td>...</td>\n",
       "      <td>0.146442</td>\n",
       "      <td>0.147564</td>\n",
       "      <td>0.148641</td>\n",
       "      <td>-0.003264</td>\n",
       "      <td>-0.003102</td>\n",
       "      <td>-0.007749</td>\n",
       "      <td>0.006810</td>\n",
       "      <td>0.102353</td>\n",
       "      <td>-0.006626</td>\n",
       "      <td>-0.004103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>流通股本(万股)</th>\n",
       "      <td>0.218577</td>\n",
       "      <td>0.217775</td>\n",
       "      <td>0.219528</td>\n",
       "      <td>0.218583</td>\n",
       "      <td>0.454486</td>\n",
       "      <td>0.240656</td>\n",
       "      <td>-0.085443</td>\n",
       "      <td>-0.006737</td>\n",
       "      <td>-0.035997</td>\n",
       "      <td>-0.003259</td>\n",
       "      <td>...</td>\n",
       "      <td>0.217180</td>\n",
       "      <td>0.218695</td>\n",
       "      <td>0.220130</td>\n",
       "      <td>-0.004907</td>\n",
       "      <td>-0.005215</td>\n",
       "      <td>-0.009164</td>\n",
       "      <td>0.009563</td>\n",
       "      <td>0.155163</td>\n",
       "      <td>-0.009036</td>\n",
       "      <td>-0.001907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>总市值(万元)</th>\n",
       "      <td>0.484079</td>\n",
       "      <td>0.483719</td>\n",
       "      <td>0.484616</td>\n",
       "      <td>0.484343</td>\n",
       "      <td>0.230009</td>\n",
       "      <td>0.743887</td>\n",
       "      <td>-0.074830</td>\n",
       "      <td>-0.006981</td>\n",
       "      <td>0.032205</td>\n",
       "      <td>-0.011337</td>\n",
       "      <td>...</td>\n",
       "      <td>0.483273</td>\n",
       "      <td>0.483822</td>\n",
       "      <td>0.483930</td>\n",
       "      <td>0.012320</td>\n",
       "      <td>0.019174</td>\n",
       "      <td>-0.013495</td>\n",
       "      <td>0.028903</td>\n",
       "      <td>0.404136</td>\n",
       "      <td>-0.023287</td>\n",
       "      <td>-0.009424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>流通市值(万元)</th>\n",
       "      <td>0.472824</td>\n",
       "      <td>0.472416</td>\n",
       "      <td>0.473366</td>\n",
       "      <td>0.473048</td>\n",
       "      <td>0.226506</td>\n",
       "      <td>0.743867</td>\n",
       "      <td>-0.080976</td>\n",
       "      <td>-0.007300</td>\n",
       "      <td>0.032864</td>\n",
       "      <td>-0.009333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.472010</td>\n",
       "      <td>0.472567</td>\n",
       "      <td>0.472694</td>\n",
       "      <td>0.010455</td>\n",
       "      <td>0.016206</td>\n",
       "      <td>-0.010840</td>\n",
       "      <td>0.027206</td>\n",
       "      <td>0.393222</td>\n",
       "      <td>-0.018252</td>\n",
       "      <td>-0.006098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_5</th>\n",
       "      <td>0.999607</td>\n",
       "      <td>0.999461</td>\n",
       "      <td>0.999516</td>\n",
       "      <td>0.999340</td>\n",
       "      <td>0.263689</td>\n",
       "      <td>0.516247</td>\n",
       "      <td>-0.091817</td>\n",
       "      <td>-0.015294</td>\n",
       "      <td>0.088966</td>\n",
       "      <td>-0.013867</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999516</td>\n",
       "      <td>0.999955</td>\n",
       "      <td>0.999415</td>\n",
       "      <td>0.009152</td>\n",
       "      <td>0.024677</td>\n",
       "      <td>-0.020626</td>\n",
       "      <td>0.034625</td>\n",
       "      <td>0.870732</td>\n",
       "      <td>-0.036180</td>\n",
       "      <td>-0.011035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean_10</th>\n",
       "      <td>0.998861</td>\n",
       "      <td>0.998676</td>\n",
       "      <td>0.998752</td>\n",
       "      <td>0.998552</td>\n",
       "      <td>0.262519</td>\n",
       "      <td>0.514474</td>\n",
       "      <td>-0.093846</td>\n",
       "      <td>-0.015503</td>\n",
       "      <td>0.088280</td>\n",
       "      <td>-0.013891</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999217</td>\n",
       "      <td>0.999645</td>\n",
       "      <td>0.999092</td>\n",
       "      <td>-0.001299</td>\n",
       "      <td>0.012370</td>\n",
       "      <td>-0.020698</td>\n",
       "      <td>0.033276</td>\n",
       "      <td>0.869638</td>\n",
       "      <td>-0.036440</td>\n",
       "      <td>-0.010421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MACDx</th>\n",
       "      <td>0.081441</td>\n",
       "      <td>0.082799</td>\n",
       "      <td>0.080705</td>\n",
       "      <td>0.082163</td>\n",
       "      <td>0.034823</td>\n",
       "      <td>0.081514</td>\n",
       "      <td>0.090472</td>\n",
       "      <td>-0.007898</td>\n",
       "      <td>0.067130</td>\n",
       "      <td>0.001469</td>\n",
       "      <td>...</td>\n",
       "      <td>0.077275</td>\n",
       "      <td>0.077566</td>\n",
       "      <td>0.077806</td>\n",
       "      <td>0.169321</td>\n",
       "      <td>0.310683</td>\n",
       "      <td>-0.030095</td>\n",
       "      <td>0.025804</td>\n",
       "      <td>0.113791</td>\n",
       "      <td>-0.038257</td>\n",
       "      <td>-0.054621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MACDy</th>\n",
       "      <td>0.067966</td>\n",
       "      <td>0.068313</td>\n",
       "      <td>0.066346</td>\n",
       "      <td>0.067065</td>\n",
       "      <td>0.012596</td>\n",
       "      <td>0.055714</td>\n",
       "      <td>0.079176</td>\n",
       "      <td>-0.019128</td>\n",
       "      <td>0.071497</td>\n",
       "      <td>0.001993</td>\n",
       "      <td>...</td>\n",
       "      <td>0.068144</td>\n",
       "      <td>0.068699</td>\n",
       "      <td>0.069236</td>\n",
       "      <td>0.064270</td>\n",
       "      <td>0.186649</td>\n",
       "      <td>-0.040284</td>\n",
       "      <td>-0.024928</td>\n",
       "      <td>0.098637</td>\n",
       "      <td>-0.053093</td>\n",
       "      <td>-0.055542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MACDz</th>\n",
       "      <td>0.053670</td>\n",
       "      <td>0.056927</td>\n",
       "      <td>0.056207</td>\n",
       "      <td>0.058668</td>\n",
       "      <td>0.072496</td>\n",
       "      <td>0.090770</td>\n",
       "      <td>0.048565</td>\n",
       "      <td>0.032523</td>\n",
       "      <td>-0.002330</td>\n",
       "      <td>-0.001340</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039923</td>\n",
       "      <td>0.039178</td>\n",
       "      <td>0.038324</td>\n",
       "      <td>0.343409</td>\n",
       "      <td>0.423303</td>\n",
       "      <td>0.025816</td>\n",
       "      <td>0.156826</td>\n",
       "      <td>0.063932</td>\n",
       "      <td>0.038488</td>\n",
       "      <td>-0.006028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dong10</th>\n",
       "      <td>0.066545</td>\n",
       "      <td>0.072319</td>\n",
       "      <td>0.070069</td>\n",
       "      <td>0.075011</td>\n",
       "      <td>0.068057</td>\n",
       "      <td>0.107921</td>\n",
       "      <td>0.082480</td>\n",
       "      <td>0.042229</td>\n",
       "      <td>0.031463</td>\n",
       "      <td>0.000464</td>\n",
       "      <td>...</td>\n",
       "      <td>0.054422</td>\n",
       "      <td>0.053393</td>\n",
       "      <td>0.052212</td>\n",
       "      <td>0.348981</td>\n",
       "      <td>0.502595</td>\n",
       "      <td>0.000316</td>\n",
       "      <td>0.264601</td>\n",
       "      <td>0.107735</td>\n",
       "      <td>0.006929</td>\n",
       "      <td>-0.031402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rsi_6</th>\n",
       "      <td>0.020232</td>\n",
       "      <td>0.024847</td>\n",
       "      <td>0.023235</td>\n",
       "      <td>0.027271</td>\n",
       "      <td>0.123526</td>\n",
       "      <td>0.102267</td>\n",
       "      <td>0.245756</td>\n",
       "      <td>0.272020</td>\n",
       "      <td>0.054157</td>\n",
       "      <td>-0.004472</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013219</td>\n",
       "      <td>0.012389</td>\n",
       "      <td>0.011467</td>\n",
       "      <td>0.784105</td>\n",
       "      <td>0.787204</td>\n",
       "      <td>0.020440</td>\n",
       "      <td>0.218501</td>\n",
       "      <td>0.053674</td>\n",
       "      <td>0.025746</td>\n",
       "      <td>-0.063959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rsi_24</th>\n",
       "      <td>0.076201</td>\n",
       "      <td>0.079530</td>\n",
       "      <td>0.077160</td>\n",
       "      <td>0.080133</td>\n",
       "      <td>0.154699</td>\n",
       "      <td>0.151534</td>\n",
       "      <td>0.340803</td>\n",
       "      <td>0.143889</td>\n",
       "      <td>0.122414</td>\n",
       "      <td>-0.007446</td>\n",
       "      <td>...</td>\n",
       "      <td>0.072902</td>\n",
       "      <td>0.071563</td>\n",
       "      <td>0.070026</td>\n",
       "      <td>0.562466</td>\n",
       "      <td>0.704111</td>\n",
       "      <td>-0.062997</td>\n",
       "      <td>0.124838</td>\n",
       "      <td>0.116428</td>\n",
       "      <td>-0.101009</td>\n",
       "      <td>-0.105669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>up</th>\n",
       "      <td>0.996798</td>\n",
       "      <td>0.996833</td>\n",
       "      <td>0.996611</td>\n",
       "      <td>0.996598</td>\n",
       "      <td>0.263471</td>\n",
       "      <td>0.518759</td>\n",
       "      <td>-0.089405</td>\n",
       "      <td>-0.014622</td>\n",
       "      <td>0.089219</td>\n",
       "      <td>-0.014129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997556</td>\n",
       "      <td>0.997432</td>\n",
       "      <td>0.996278</td>\n",
       "      <td>-0.002131</td>\n",
       "      <td>0.003809</td>\n",
       "      <td>-0.020864</td>\n",
       "      <td>0.036536</td>\n",
       "      <td>0.873933</td>\n",
       "      <td>-0.037024</td>\n",
       "      <td>-0.010031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>down</th>\n",
       "      <td>0.996289</td>\n",
       "      <td>0.995880</td>\n",
       "      <td>0.996387</td>\n",
       "      <td>0.995981</td>\n",
       "      <td>0.259498</td>\n",
       "      <td>0.505741</td>\n",
       "      <td>-0.101331</td>\n",
       "      <td>-0.014596</td>\n",
       "      <td>0.084013</td>\n",
       "      <td>-0.013686</td>\n",
       "      <td>...</td>\n",
       "      <td>0.995891</td>\n",
       "      <td>0.996904</td>\n",
       "      <td>0.996994</td>\n",
       "      <td>-0.003706</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>-0.022006</td>\n",
       "      <td>0.033208</td>\n",
       "      <td>0.858649</td>\n",
       "      <td>-0.037135</td>\n",
       "      <td>-0.008787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bupper</th>\n",
       "      <td>0.999069</td>\n",
       "      <td>0.999096</td>\n",
       "      <td>0.998807</td>\n",
       "      <td>0.998797</td>\n",
       "      <td>0.266014</td>\n",
       "      <td>0.521461</td>\n",
       "      <td>-0.086970</td>\n",
       "      <td>-0.012807</td>\n",
       "      <td>0.090464</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999555</td>\n",
       "      <td>0.998046</td>\n",
       "      <td>0.007908</td>\n",
       "      <td>0.025386</td>\n",
       "      <td>-0.020382</td>\n",
       "      <td>0.034447</td>\n",
       "      <td>0.877253</td>\n",
       "      <td>-0.036350</td>\n",
       "      <td>-0.011625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bmiddle</th>\n",
       "      <td>0.999470</td>\n",
       "      <td>0.999281</td>\n",
       "      <td>0.999336</td>\n",
       "      <td>0.999127</td>\n",
       "      <td>0.263493</td>\n",
       "      <td>0.515964</td>\n",
       "      <td>-0.091945</td>\n",
       "      <td>-0.015738</td>\n",
       "      <td>0.089004</td>\n",
       "      <td>-0.013865</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999555</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999466</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>0.023918</td>\n",
       "      <td>-0.020587</td>\n",
       "      <td>0.032271</td>\n",
       "      <td>0.870576</td>\n",
       "      <td>-0.036222</td>\n",
       "      <td>-0.011082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blower</th>\n",
       "      <td>0.998888</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.998895</td>\n",
       "      <td>0.998468</td>\n",
       "      <td>0.260465</td>\n",
       "      <td>0.509420</td>\n",
       "      <td>-0.097297</td>\n",
       "      <td>-0.018930</td>\n",
       "      <td>0.087314</td>\n",
       "      <td>-0.013793</td>\n",
       "      <td>...</td>\n",
       "      <td>0.998046</td>\n",
       "      <td>0.999466</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.003806</td>\n",
       "      <td>0.022286</td>\n",
       "      <td>-0.020790</td>\n",
       "      <td>0.029856</td>\n",
       "      <td>0.862377</td>\n",
       "      <td>-0.036045</td>\n",
       "      <td>-0.010476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_5</th>\n",
       "      <td>0.017063</td>\n",
       "      <td>0.021515</td>\n",
       "      <td>0.019690</td>\n",
       "      <td>0.023543</td>\n",
       "      <td>0.124967</td>\n",
       "      <td>0.108808</td>\n",
       "      <td>0.290629</td>\n",
       "      <td>0.275506</td>\n",
       "      <td>0.043069</td>\n",
       "      <td>-0.000929</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007908</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>0.003806</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.694044</td>\n",
       "      <td>-0.016375</td>\n",
       "      <td>0.201073</td>\n",
       "      <td>0.054995</td>\n",
       "      <td>-0.011719</td>\n",
       "      <td>-0.054312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_10</th>\n",
       "      <td>0.030203</td>\n",
       "      <td>0.033702</td>\n",
       "      <td>0.031596</td>\n",
       "      <td>0.034669</td>\n",
       "      <td>0.139350</td>\n",
       "      <td>0.128115</td>\n",
       "      <td>0.325496</td>\n",
       "      <td>0.165140</td>\n",
       "      <td>0.058449</td>\n",
       "      <td>-0.001472</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025386</td>\n",
       "      <td>0.023918</td>\n",
       "      <td>0.022286</td>\n",
       "      <td>0.694044</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>0.139368</td>\n",
       "      <td>0.071209</td>\n",
       "      <td>-0.007034</td>\n",
       "      <td>-0.068150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_10_shift</th>\n",
       "      <td>-0.020763</td>\n",
       "      <td>-0.020788</td>\n",
       "      <td>-0.020857</td>\n",
       "      <td>-0.020904</td>\n",
       "      <td>-0.042174</td>\n",
       "      <td>-0.036881</td>\n",
       "      <td>-0.075585</td>\n",
       "      <td>0.017400</td>\n",
       "      <td>-0.037247</td>\n",
       "      <td>-0.005056</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.020382</td>\n",
       "      <td>-0.020587</td>\n",
       "      <td>-0.020790</td>\n",
       "      <td>-0.016375</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.005254</td>\n",
       "      <td>-0.016769</td>\n",
       "      <td>0.703755</td>\n",
       "      <td>0.677092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>close-o</th>\n",
       "      <td>0.026709</td>\n",
       "      <td>0.046398</td>\n",
       "      <td>0.041500</td>\n",
       "      <td>0.059016</td>\n",
       "      <td>0.057300</td>\n",
       "      <td>0.085270</td>\n",
       "      <td>0.044505</td>\n",
       "      <td>0.088288</td>\n",
       "      <td>0.015402</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034447</td>\n",
       "      <td>0.032271</td>\n",
       "      <td>0.029856</td>\n",
       "      <td>0.201073</td>\n",
       "      <td>0.139368</td>\n",
       "      <td>-0.005254</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.137700</td>\n",
       "      <td>0.001708</td>\n",
       "      <td>-0.019252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high-l</th>\n",
       "      <td>0.870292</td>\n",
       "      <td>0.878061</td>\n",
       "      <td>0.866270</td>\n",
       "      <td>0.873539</td>\n",
       "      <td>0.287644</td>\n",
       "      <td>0.567925</td>\n",
       "      <td>0.018934</td>\n",
       "      <td>0.097146</td>\n",
       "      <td>0.113155</td>\n",
       "      <td>-0.013096</td>\n",
       "      <td>...</td>\n",
       "      <td>0.877253</td>\n",
       "      <td>0.870576</td>\n",
       "      <td>0.862377</td>\n",
       "      <td>0.054995</td>\n",
       "      <td>0.071209</td>\n",
       "      <td>-0.016769</td>\n",
       "      <td>0.137700</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.036089</td>\n",
       "      <td>-0.023892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_10_shift01</th>\n",
       "      <td>-0.036232</td>\n",
       "      <td>-0.036282</td>\n",
       "      <td>-0.036059</td>\n",
       "      <td>-0.036127</td>\n",
       "      <td>-0.049274</td>\n",
       "      <td>-0.050818</td>\n",
       "      <td>-0.092796</td>\n",
       "      <td>0.007653</td>\n",
       "      <td>-0.037474</td>\n",
       "      <td>-0.002504</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.036350</td>\n",
       "      <td>-0.036222</td>\n",
       "      <td>-0.036045</td>\n",
       "      <td>-0.011719</td>\n",
       "      <td>-0.007034</td>\n",
       "      <td>0.703755</td>\n",
       "      <td>0.001708</td>\n",
       "      <td>-0.036089</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.573576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_10_shift_rank</th>\n",
       "      <td>-0.011495</td>\n",
       "      <td>-0.012184</td>\n",
       "      <td>-0.011516</td>\n",
       "      <td>-0.012102</td>\n",
       "      <td>-0.060685</td>\n",
       "      <td>-0.049923</td>\n",
       "      <td>-0.139861</td>\n",
       "      <td>-0.026199</td>\n",
       "      <td>-0.017118</td>\n",
       "      <td>0.006322</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011625</td>\n",
       "      <td>-0.011082</td>\n",
       "      <td>-0.010476</td>\n",
       "      <td>-0.054312</td>\n",
       "      <td>-0.068150</td>\n",
       "      <td>0.677092</td>\n",
       "      <td>-0.019252</td>\n",
       "      <td>-0.023892</td>\n",
       "      <td>0.573576</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          open      high       low     close    volume  \\\n",
       "open                  1.000000  0.999705  0.999793  0.999477  0.264229   \n",
       "high                  0.999705  1.000000  0.999709  0.999819  0.266785   \n",
       "low                   0.999793  0.999709  1.000000  0.999749  0.264018   \n",
       "close                 0.999477  0.999819  0.999749  1.000000  0.265716   \n",
       "volume                0.264229  0.266785  0.264018  0.265716  1.000000   \n",
       "成交额(千元)               0.517218  0.521403  0.515705  0.519259  0.562242   \n",
       "换手率(%)               -0.090651 -0.087192 -0.091977 -0.089086  0.236022   \n",
       "量比                   -0.014127 -0.009742 -0.015064 -0.011252  0.160999   \n",
       "市盈率(静态)               0.089178  0.090280  0.088546  0.089552  0.008093   \n",
       "市盈率(TTM)             -0.013857 -0.013871 -0.013821 -0.013847 -0.002737   \n",
       "市盈率(动态)              -0.006650 -0.006444 -0.006620 -0.006480  0.006925   \n",
       "市净率                   0.529065  0.531361  0.527876  0.530145  0.009208   \n",
       "市销率                   0.466969  0.467603  0.466924  0.467509  0.119874   \n",
       "市销率(TTM)              0.435704  0.436223  0.435900  0.436323  0.143457   \n",
       "股息率(%)               -0.132598 -0.133366 -0.132085 -0.132753 -0.047406   \n",
       "股息率(TTM)(%)          -0.082424 -0.082907 -0.082133 -0.082560  0.033595   \n",
       "总股本(万股)               0.147477  0.146889  0.148188  0.147493  0.409246   \n",
       "流通股本(万股)              0.218577  0.217775  0.219528  0.218583  0.454486   \n",
       "总市值(万元)               0.484079  0.483719  0.484616  0.484343  0.230009   \n",
       "流通市值(万元)              0.472824  0.472416  0.473366  0.473048  0.226506   \n",
       "mean_5                0.999607  0.999461  0.999516  0.999340  0.263689   \n",
       "mean_10               0.998861  0.998676  0.998752  0.998552  0.262519   \n",
       "MACDx                 0.081441  0.082799  0.080705  0.082163  0.034823   \n",
       "MACDy                 0.067966  0.068313  0.066346  0.067065  0.012596   \n",
       "MACDz                 0.053670  0.056927  0.056207  0.058668  0.072496   \n",
       "dong10                0.066545  0.072319  0.070069  0.075011  0.068057   \n",
       "rsi_6                 0.020232  0.024847  0.023235  0.027271  0.123526   \n",
       "rsi_24                0.076201  0.079530  0.077160  0.080133  0.154699   \n",
       "up                    0.996798  0.996833  0.996611  0.996598  0.263471   \n",
       "down                  0.996289  0.995880  0.996387  0.995981  0.259498   \n",
       "Bupper                0.999069  0.999096  0.998807  0.998797  0.266014   \n",
       "Bmiddle               0.999470  0.999281  0.999336  0.999127  0.263493   \n",
       "Blower                0.998888  0.998463  0.998895  0.998468  0.260465   \n",
       "return_5              0.017063  0.021515  0.019690  0.023543  0.124967   \n",
       "return_10             0.030203  0.033702  0.031596  0.034669  0.139350   \n",
       "return_10_shift      -0.020763 -0.020788 -0.020857 -0.020904 -0.042174   \n",
       "close-o               0.026709  0.046398  0.041500  0.059016  0.057300   \n",
       "high-l                0.870292  0.878061  0.866270  0.873539  0.287644   \n",
       "return_10_shift01    -0.036232 -0.036282 -0.036059 -0.036127 -0.049274   \n",
       "return_10_shift_rank -0.011495 -0.012184 -0.011516 -0.012102 -0.060685   \n",
       "\n",
       "                       成交额(千元)    换手率(%)        量比   市盈率(静态)  市盈率(TTM)  ...  \\\n",
       "open                  0.517218 -0.090651 -0.014127  0.089178 -0.013857  ...   \n",
       "high                  0.521403 -0.087192 -0.009742  0.090280 -0.013871  ...   \n",
       "low                   0.515705 -0.091977 -0.015064  0.088546 -0.013821  ...   \n",
       "close                 0.519259 -0.089086 -0.011252  0.089552 -0.013847  ...   \n",
       "volume                0.562242  0.236022  0.160999  0.008093 -0.002737  ...   \n",
       "成交额(千元)               1.000000  0.158279  0.110787  0.076599 -0.011711  ...   \n",
       "换手率(%)                0.158279  1.000000  0.338333  0.052955 -0.004034  ...   \n",
       "量比                    0.110787  0.338333  1.000000  0.003494 -0.000190  ...   \n",
       "市盈率(静态)               0.076599  0.052955  0.003494  1.000000  0.064914  ...   \n",
       "市盈率(TTM)             -0.011711 -0.004034 -0.000190  0.064914  1.000000  ...   \n",
       "市盈率(动态)               0.002864  0.008040  0.004834  0.187653  0.026355  ...   \n",
       "市净率                   0.326436  0.050350 -0.000940  0.356255 -0.018708  ...   \n",
       "市销率                   0.289776 -0.001966  0.000044  0.331218 -0.001123  ...   \n",
       "市销率(TTM)              0.279923  0.003902  0.002282  0.312162  0.006566  ...   \n",
       "股息率(%)               -0.122008 -0.066181  0.002478 -0.225676 -0.017303  ...   \n",
       "股息率(TTM)(%)          -0.062001 -0.028846 -0.002951 -0.186442 -0.021901  ...   \n",
       "总股本(万股)               0.178259 -0.063773 -0.004904 -0.040020 -0.005291  ...   \n",
       "流通股本(万股)              0.240656 -0.085443 -0.006737 -0.035997 -0.003259  ...   \n",
       "总市值(万元)               0.743887 -0.074830 -0.006981  0.032205 -0.011337  ...   \n",
       "流通市值(万元)              0.743867 -0.080976 -0.007300  0.032864 -0.009333  ...   \n",
       "mean_5                0.516247 -0.091817 -0.015294  0.088966 -0.013867  ...   \n",
       "mean_10               0.514474 -0.093846 -0.015503  0.088280 -0.013891  ...   \n",
       "MACDx                 0.081514  0.090472 -0.007898  0.067130  0.001469  ...   \n",
       "MACDy                 0.055714  0.079176 -0.019128  0.071497  0.001993  ...   \n",
       "MACDz                 0.090770  0.048565  0.032523 -0.002330 -0.001340  ...   \n",
       "dong10                0.107921  0.082480  0.042229  0.031463  0.000464  ...   \n",
       "rsi_6                 0.102267  0.245756  0.272020  0.054157 -0.004472  ...   \n",
       "rsi_24                0.151534  0.340803  0.143889  0.122414 -0.007446  ...   \n",
       "up                    0.518759 -0.089405 -0.014622  0.089219 -0.014129  ...   \n",
       "down                  0.505741 -0.101331 -0.014596  0.084013 -0.013686  ...   \n",
       "Bupper                0.521461 -0.086970 -0.012807  0.090464 -0.013918  ...   \n",
       "Bmiddle               0.515964 -0.091945 -0.015738  0.089004 -0.013865  ...   \n",
       "Blower                0.509420 -0.097297 -0.018930  0.087314 -0.013793  ...   \n",
       "return_5              0.108808  0.290629  0.275506  0.043069 -0.000929  ...   \n",
       "return_10             0.128115  0.325496  0.165140  0.058449 -0.001472  ...   \n",
       "return_10_shift      -0.036881 -0.075585  0.017400 -0.037247 -0.005056  ...   \n",
       "close-o               0.085270  0.044505  0.088288  0.015402 -0.000279  ...   \n",
       "high-l                0.567925  0.018934  0.097146  0.113155 -0.013096  ...   \n",
       "return_10_shift01    -0.050818 -0.092796  0.007653 -0.037474 -0.002504  ...   \n",
       "return_10_shift_rank -0.049923 -0.139861 -0.026199 -0.017118  0.006322  ...   \n",
       "\n",
       "                        Bupper   Bmiddle    Blower  return_5  return_10  \\\n",
       "open                  0.999069  0.999470  0.998888  0.017063   0.030203   \n",
       "high                  0.999096  0.999281  0.998463  0.021515   0.033702   \n",
       "low                   0.998807  0.999336  0.998895  0.019690   0.031596   \n",
       "close                 0.998797  0.999127  0.998468  0.023543   0.034669   \n",
       "volume                0.266014  0.263493  0.260465  0.124967   0.139350   \n",
       "成交额(千元)               0.521461  0.515964  0.509420  0.108808   0.128115   \n",
       "换手率(%)               -0.086970 -0.091945 -0.097297  0.290629   0.325496   \n",
       "量比                   -0.012807 -0.015738 -0.018930  0.275506   0.165140   \n",
       "市盈率(静态)               0.090464  0.089004  0.087314  0.043069   0.058449   \n",
       "市盈率(TTM)             -0.013918 -0.013865 -0.013793 -0.000929  -0.001472   \n",
       "市盈率(动态)              -0.006642 -0.006784 -0.006934  0.021869   0.027733   \n",
       "市净率                   0.531209  0.528536  0.525071  0.077186   0.109017   \n",
       "市销率                   0.466758  0.466771  0.466309  0.045899   0.064405   \n",
       "市销率(TTM)              0.435093  0.435405  0.435302  0.050737   0.070722   \n",
       "股息率(%)               -0.133778 -0.132625 -0.131226 -0.026527  -0.037571   \n",
       "股息率(TTM)(%)          -0.083090 -0.082377 -0.081513 -0.023195  -0.029322   \n",
       "总股本(万股)               0.146442  0.147564  0.148641 -0.003264  -0.003102   \n",
       "流通股本(万股)              0.217180  0.218695  0.220130 -0.004907  -0.005215   \n",
       "总市值(万元)               0.483273  0.483822  0.483930  0.012320   0.019174   \n",
       "流通市值(万元)              0.472010  0.472567  0.472694  0.010455   0.016206   \n",
       "mean_5                0.999516  0.999955  0.999415  0.009152   0.024677   \n",
       "mean_10               0.999217  0.999645  0.999092 -0.001299   0.012370   \n",
       "MACDx                 0.077275  0.077566  0.077806  0.169321   0.310683   \n",
       "MACDy                 0.068144  0.068699  0.069236  0.064270   0.186649   \n",
       "MACDz                 0.039923  0.039178  0.038324  0.343409   0.423303   \n",
       "dong10                0.054422  0.053393  0.052212  0.348981   0.502595   \n",
       "rsi_6                 0.013219  0.012389  0.011467  0.784105   0.787204   \n",
       "rsi_24                0.072902  0.071563  0.070026  0.562466   0.704111   \n",
       "up                    0.997556  0.997432  0.996278 -0.002131   0.003809   \n",
       "down                  0.995891  0.996904  0.996994 -0.003706   0.000616   \n",
       "Bupper                1.000000  0.999555  0.998046  0.007908   0.025386   \n",
       "Bmiddle               0.999555  1.000000  0.999466  0.005952   0.023918   \n",
       "Blower                0.998046  0.999466  1.000000  0.003806   0.022286   \n",
       "return_5              0.007908  0.005952  0.003806  1.000000   0.694044   \n",
       "return_10             0.025386  0.023918  0.022286  0.694044   1.000000   \n",
       "return_10_shift      -0.020382 -0.020587 -0.020790 -0.016375  -0.009092   \n",
       "close-o               0.034447  0.032271  0.029856  0.201073   0.139368   \n",
       "high-l                0.877253  0.870576  0.862377  0.054995   0.071209   \n",
       "return_10_shift01    -0.036350 -0.036222 -0.036045 -0.011719  -0.007034   \n",
       "return_10_shift_rank -0.011625 -0.011082 -0.010476 -0.054312  -0.068150   \n",
       "\n",
       "                      return_10_shift   close-o    high-l  return_10_shift01  \\\n",
       "open                        -0.020763  0.026709  0.870292          -0.036232   \n",
       "high                        -0.020788  0.046398  0.878061          -0.036282   \n",
       "low                         -0.020857  0.041500  0.866270          -0.036059   \n",
       "close                       -0.020904  0.059016  0.873539          -0.036127   \n",
       "volume                      -0.042174  0.057300  0.287644          -0.049274   \n",
       "成交额(千元)                     -0.036881  0.085270  0.567925          -0.050818   \n",
       "换手率(%)                      -0.075585  0.044505  0.018934          -0.092796   \n",
       "量比                           0.017400  0.088288  0.097146           0.007653   \n",
       "市盈率(静态)                     -0.037247  0.015402  0.113155          -0.037474   \n",
       "市盈率(TTM)                    -0.005056 -0.000279 -0.013096          -0.002504   \n",
       "市盈率(动态)                     -0.006451  0.004959 -0.002125          -0.008292   \n",
       "市净率                         -0.034357  0.056080  0.532679          -0.067487   \n",
       "市销率                         -0.032081  0.036729  0.421357          -0.050793   \n",
       "市销率(TTM)                    -0.026345  0.037805  0.386935          -0.044346   \n",
       "股息率(%)                       0.023443 -0.010475 -0.141751           0.041766   \n",
       "股息率(TTM)(%)                  0.010738 -0.007749 -0.087681           0.011081   \n",
       "总股本(万股)                     -0.007749  0.006810  0.102353          -0.006626   \n",
       "流通股本(万股)                    -0.009164  0.009563  0.155163          -0.009036   \n",
       "总市值(万元)                     -0.013495  0.028903  0.404136          -0.023287   \n",
       "流通市值(万元)                    -0.010840  0.027206  0.393222          -0.018252   \n",
       "mean_5                      -0.020626  0.034625  0.870732          -0.036180   \n",
       "mean_10                     -0.020698  0.033276  0.869638          -0.036440   \n",
       "MACDx                       -0.030095  0.025804  0.113791          -0.038257   \n",
       "MACDy                       -0.040284 -0.024928  0.098637          -0.053093   \n",
       "MACDz                        0.025816  0.156826  0.063932           0.038488   \n",
       "dong10                       0.000316  0.264601  0.107735           0.006929   \n",
       "rsi_6                        0.020440  0.218501  0.053674           0.025746   \n",
       "rsi_24                      -0.062997  0.124838  0.116428          -0.101009   \n",
       "up                          -0.020864  0.036536  0.873933          -0.037024   \n",
       "down                        -0.022006  0.033208  0.858649          -0.037135   \n",
       "Bupper                      -0.020382  0.034447  0.877253          -0.036350   \n",
       "Bmiddle                     -0.020587  0.032271  0.870576          -0.036222   \n",
       "Blower                      -0.020790  0.029856  0.862377          -0.036045   \n",
       "return_5                    -0.016375  0.201073  0.054995          -0.011719   \n",
       "return_10                   -0.009092  0.139368  0.071209          -0.007034   \n",
       "return_10_shift              1.000000 -0.005254 -0.016769           0.703755   \n",
       "close-o                     -0.005254  1.000000  0.137700           0.001708   \n",
       "high-l                      -0.016769  0.137700  1.000000          -0.036089   \n",
       "return_10_shift01            0.703755  0.001708 -0.036089           1.000000   \n",
       "return_10_shift_rank         0.677092 -0.019252 -0.023892           0.573576   \n",
       "\n",
       "                      return_10_shift_rank  \n",
       "open                             -0.011495  \n",
       "high                             -0.012184  \n",
       "low                              -0.011516  \n",
       "close                            -0.012102  \n",
       "volume                           -0.060685  \n",
       "成交额(千元)                          -0.049923  \n",
       "换手率(%)                           -0.139861  \n",
       "量比                               -0.026199  \n",
       "市盈率(静态)                          -0.017118  \n",
       "市盈率(TTM)                          0.006322  \n",
       "市盈率(动态)                          -0.009321  \n",
       "市净率                              -0.027984  \n",
       "市销率                              -0.022130  \n",
       "市销率(TTM)                         -0.019310  \n",
       "股息率(%)                            0.011162  \n",
       "股息率(TTM)(%)                      -0.002025  \n",
       "总股本(万股)                          -0.004103  \n",
       "流通股本(万股)                         -0.001907  \n",
       "总市值(万元)                          -0.009424  \n",
       "流通市值(万元)                         -0.006098  \n",
       "mean_5                           -0.011035  \n",
       "mean_10                          -0.010421  \n",
       "MACDx                            -0.054621  \n",
       "MACDy                            -0.055542  \n",
       "MACDz                            -0.006028  \n",
       "dong10                           -0.031402  \n",
       "rsi_6                            -0.063959  \n",
       "rsi_24                           -0.105669  \n",
       "up                               -0.010031  \n",
       "down                             -0.008787  \n",
       "Bupper                           -0.011625  \n",
       "Bmiddle                          -0.011082  \n",
       "Blower                           -0.010476  \n",
       "return_5                         -0.054312  \n",
       "return_10                        -0.068150  \n",
       "return_10_shift                   0.677092  \n",
       "close-o                          -0.019252  \n",
       "high-l                           -0.023892  \n",
       "return_10_shift01                 0.573576  \n",
       "return_10_shift_rank              1.000000  \n",
       "\n",
       "[40 rows x 40 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s_x.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c2a9f010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(s_x.corr(), cmap=sns.diverging_palette(h_neg=20, h_pos=220), center=0)\n",
    "plt.gcf().set_size_inches((8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "359fb83b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "135425"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(s_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f9e7138c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x257657ca6e0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(s_x.sample(frac=0.05),vars=['return_10_shift_rank','股息率(%)','市盈率(静态)'])\n",
    "g.map_upper(sns.scatterplot)\n",
    "g.map_lower(sns.kdeplot)\n",
    "g.map_diag(sns.kdeplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17fba647",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6ff22a0b",
   "metadata": {},
   "source": [
    "### 分类分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "abe976d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['open', 'high', 'low', 'close', 'volume', '成交额(千元)', '换手率(%)', '量比',\n",
       "       '市盈率(静态)', '市盈率(TTM)', '市盈率(动态)', '市净率', '市销率', '市销率(TTM)', '股息率(%)',\n",
       "       '股息率(TTM)(%)', '总股本(万股)', '流通股本(万股)', '总市值(万元)', '流通市值(万元)', 'b_high',\n",
       "       'b_low', 'MACD_x', 'MACD_y', 'MACD_z', 'dong10', 'rsi_6', 'rsi_24',\n",
       "       'up', 'down', 'return_30', 'return_5', 'return_10', 'return_10_shift',\n",
       "       'close-o', 'high-l', 'return_10_shift_01', 'return_10_shift_rank'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s_x.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7e7ff99e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 636.861x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.displot(s_x,x='市盈率(静态)',kind=\"kde\",color='b',hue=\"return_10_shift_01\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d8c9877f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5uX7+85/rwgsvTHfXmwm1tBij8YbJDN0CAAAb2TJHb/HixZo1a5b69u2rZ599VvPnz5dkrcB95ZVXml3z9a9/XY888ohuvPFGjR07VoMGDdKiRYvS3fVmWqzoRYduOesWAADYK+3bq0jS9OnTtXnzZq1fv14TJkxQ7969JVnDuK259NJLdemll6aphx0T3V7F0dqGyQQ9AABgH1uCniT1799f/fv3t+v2SdHS9iqeJkegMXQLAADsY8tZt51FS3P0oturmFT0AACAvQh6CWiYo9d46Da86pbtVQAAgM0IegkwxT56AAAgcxH0EhAMWd9bmqPnl5OhWwAAYCuCXgJaHLqlogcAADIEQS8BkaDnbGExhtfkrFsAAGAvgl4CovvosRgDAABkIIJeAhr20Wto87BhMgAAyBAEvQSE12I0qeh5Gh+BFgpI4aofAABAuhH0EtDyPnqRkzHCh44wfAsAAGxC0EtAW2fd+uSxinkM3wIAAJsQ9BLQ1lm3khSQk4oeAACwDUEvAcHI0G2jp+h2NYQ+a0EGW6wAAAB7EPQSYMoKdY5WKnpssQIAAOxE0EtAS4sxnA4jut2Kj2PQAACAjQh6CWgp6BmGEV2QQUUPAADYiaCXgGjQa7TqVmoYvvWZboIeAACwDUEvAWYLFT3psGPQGLoFAAA2IeglIHIyhmE0fYxNNk2mogcAAGxC0EtAqIXtVaTGx6CxvQoAALAPQS8BLS3GkBrm6LEYAwAA2Imgl4CGffRaHrr1m2yvAgAA7EPQS0DkZAzjsFW3kdMxvHJLQYZuAQCAPQh6CWht6LbpPnq+dHcLAABAEkEvIaHw0K2zlX302F4FAADYiaCXgOg+eoctu42sumV7FQAAYCeCXgJa20fPFa7w+U22VwEAAPYh6CUgZIZX3R6+GCM6dOukogcAAGxD0EtApKLXbDFGeOg2wBw9AABgI4JeAsxIRe/woOdodNYt26sAAACbEPQSEJ2j52hlw2Q52V4FAADYhqCXgKDZ8skYLrZXAQAAGYCgl4DoEWjN9tFrtOqWoVsAAGATgl4CQq3so+dqPHRLRQ8AANiEoJeAyMkYbR+BRtADAAD2iCvoDRgwQDfeeKP+/ve/J7s/R5SGffQOOxkjPHQboKIHAABsFFfQW7p0qXw+ny688EIVFxfr5ptv1gcffJDsvmW88Mhtszl6kaFbH9urAAAAG8UV9L75zW/qoYce0meffaann35aLpdLkyZN0rHHHquf/exn2rdvX7L7mZEiQ7eHH4EWGboNsL0KAACwUUJz9NatW6dnnnlGK1eulMfj0Te/+U3t3r1bkydPTlb/Mlp06NZ5eNBrfNYtQ7cAAMAernguuuGGG/SnP/1JPp9P06dP1+OPP64zzjhDDodDn332mUaOHJnsfmakhsUYrW2YzNAtAACwT1xBr66uTkuWLNFZZ50lp9PZ5Hd9+vTR5s2bk9K5TNcwR+/w7VUiR6CxGAMAANgnrqD3xBNPtPq77OxsHX300XF36EgSNK2Ax/YqAAAgE8U1R+/pp59WMBhs0vbee+/psssuS0qnjhTRxRjNtldptBgjxNAtAACwR1xB7+KLL9ahQ4eatA0dOlR//OMfk9KpI0XkCDRnK0O3PpOKHgAAsE9MQ7efffaZJMk0Te3YsUN5eXnR1y+//HKXGbKNCLVy1i3bqwAAgEwQU9AbPHiwDMOQYRgaPXp0tN0wDB1zzDFavHhx0juYySLbqxiOpgtSoturyMXQLQAAsE1MQS8UCkmyVplWVFQoPz8/JZ06UrS3vYqPxRgAAMBGcc3RGz58uFyuuBbsdiqmWj7r1uVovBiDoAcAAOwRV1rbtGlTsvtxRAq1EvQ8rkZDt1T0AACATRI6Aq2ra217lehiDJPtVQAAgH0IenEyTVOh8ONrbeiWOXoAAMBOHR66PfPMM/Xyyy8rNzdXEydOlHHYaRARb7/9dtI6l8lMs+HnwxdjRIZuA3KxvQoAALBNhyt6V1xxhTwejyRpxowZuuKKK1r86ipCjZKe09V0e5VIRc/PyRgAALRry5YtKioqata+atUqjRw5Ur169dKiRYsSvs8dd9yhGTNmtPmeZcuW6Ywzzmjxdx9++KHGjh2r7OxsHXPMMfL7Exu1e/bZZzVo0CAdffTR+sMf/tDs93/72980fPjwhO7R4Ype4xDXlQJda0KNKnrN5ui5GLoFAGS2wYMHtxlq0mXbtm2aOnWqKioqmrTv3btX559/vm666SZdfPHFuuiiizR27FhNnDgxpf255JJLdMEFF7T4uzvvvFMnn3yyXn/9dZWXl8vpbCj0GIahbdu2afDgwR26T2lpqb7//e/rN7/5jU466SR95zvf0de//vVosPvggw/07W9/W9nZ2Qn9PczRi1Pjil6zffQcjYZu2V4FAIBWTZ06VVdddVWz9ieffFL9+vXT7bffrmOOOUY/+9nPtGTJkpT3x+PxqHv37i3+bv/+/TrxxBPVt29fnXTSSc3m6MfiiSee0MSJE3XVVVdp9OjRuv766/X73/9eknTo0CF9+9vf1rXXXhv350cQ9OLUZI5eK6tuQ3IoGAims1sAgC5mxowZuuOOO7RixQoNHz5cDz30kCTpH//4h0466STl5+frO9/5jiorKyVJ55xzjgzD0Pbt26Nz7ufPny+p+bBleXl5kzn5Z5xxhpYtW6ZFixZp0KBBevHFF5tc9/jjj6tv377q06ePnn322Q71/+WXX9aFF17YrH3jxo0688wzo/c/8cQT9cEHH3ToM1esWKHBgwerW7dumjJlivbv39/k93fddZcKCgo0aNAgvffee01+11KVc9asWTIMQ6tWrdLMmTNlGIZmzZolSRoxYkS0j8XFxTIMQytXrmy3j5G/L6Lx3+d2u7V27VqddtppHfp72xJX0Dtw4IBuvfVWSdKnn36qb33rW5o2bVqX2l+vSUXv8CPQXA2P1R8+TQQAgFT585//rIcffliLFi3S9OnTdfDgQU2ZMkVTp07Vv//9b9XW1uqmm26SJD333HOqqKjQwIED9dJLL6miokI//vGPO3yvxx57TG+//bYef/xxTZgwIdr+0Ucf6bnnntOaNWs0Y8YM3XjjjR36vCFDhrTYXlVVpeLi4ujrHj16aOfOne1+Xk1NjWbOnKn58+errKxMLpdLCxYsiP7+1Vdf1ZYtW/TBBx/olFNOieaZttx3332qqKjQKaecot/85jeqqKjQfffdJ8kK1JFh540bN6qiokLf/e532/3Mtv4+j8ej/v37t/sZHRHXhsmXXnqp3G63JOn6669X79695XA4dOWVV2rt2rVJ6Vimaxz0Dp+j53I0/NuPP2gqsdF1AADatnXrVn3yySfRo0lXrFght9ut22+/XYZh6Mc//rEuu+wySVK3bt0kWaNR3bt3V0FBQUz3qqmp0erVq6M5oHH77373O/Xt21dXXXWVfvWrXyX0N7lcLmVlZUVfZ2dnq7a2tt3rnE6n3G63vF6v+vTpoxdffFFm4wWUTqcWL16s7OxszZgxQz/4wQ/a/cycnBzl5OTI5XIpNze3yTPLy8uL/tyjR48OP894/75YxRX0Vq9erU2bNqm+vl5r1qzRnj17dPDgQQ0bNizZ/ctYoVAbFT1nQ/ALmIYUCkkJjOMDANCWyy+/vMn58zt37tTevXtVWFgoyTqrvrq6WvX19TFN7m8peMyaNatZyJOkkSNHqm/fvpIU3aUjEUVFRdq7d2/0dXV1dYc+NycnR88884zuueceXXfdddEqXCSjnHzyydFn4PF4moTAdIr374tVXOmjd+/eWrdunZ555hkdf/zxysnJ0Ycffhj9D7grMBsNyR4e9JwOQ5Ginp8FGQCAFItU6SIGDBigE044QRs2bNCGDRu0ceNG/etf/2oS0BwOR7OQYxiGgsGGueXr169v914RPXr0SORPaKakpETr1q2Lvt6wYUOHhjP379+vwsJC/fWvf9Xu3bvVp0+fJkPTye5nhGEYMYXGeP++WMUV9H7xi1/o+9//vq655hrdeuut+tvf/qZvf/vb+ulPf5rs/mWsYJOg13zz6EhVjy1WAADpNnXqVG3fvl3vv/++nE6nVq5cqXPOOadJEBk2bJhef/11ffnll3rrrbckWQHxo48+UkVFhXbv3t1kblu6nX/++VqzZo3eeecdBQIBLViwQJMnT273un379umss87S66+/rqqqKjkcDoXSMF9+2LBheuWVV7Rz506tXr263fd/97vf1cqVK1VWVqZDhw7pwQcf7NDfF6u4gt6ll16qiooK7du3T1OmTNHw4cO1YcOG6AqUriAUsv6Nx1BIxmEVPUlyO8NbrJhOKnoAgLQqKCjQiy++qIULF2rEiBF6/vnn9eKLL8rlapixtWDBAr3++usqLi7WnXfeKUmaOHGizjnnHI0ePVrTpk3T3XffbdefoF69emnhwoWaPHmy+vXrp9LSUt12223tXjd8+HAtXLhQ11xzjYYMGaKPP/5Y9957b8r7++ijj+r+++/XsGHD9Nhjj7X7/uOPP17XX3+9xo4dqwEDBsg0zaRsp3I4w7RrcDqNqqqqlJ+fr8rKyqSVbPccqNSJ966RU0F9escZUnbTzx171xuqqPXrL545Ouanq6TuvZNyXwAAupItW7Zo06ZNOv3001M27GqnDz/8UDt37tSZZ57ZZHFGssRV0fvjH/+owYMHy+l0Rr8cDkeTHaI7u0gZ2CFTMpo/xsjQrXUMGhU9AEDX89lnn6mgoKDFr9ZOnzjcsGHDNG3atGjIS8ZnpsOaNWta7WfjrWfGjBmjKVOmpCTkSXGuur3mmms0Y8YMXXXVVSlZIXIkCIXPsDUUaifoMUcPANA1HX300dqwYUOLv8vJycmYz0yFyGKYljTekiXV4gp6hmHo6quv1tChQ5PdnyNGk4peG3P0CHoAgK7K5XJ1+OxXOz8zFbKzszOin3EN3d5999264YYbtG/fvmT354hhtjN064pU9FiMAQAAbBJXRe/JJ5/URx99pEGDBmnkyJFNJke+/fbbSetcJotsmOxg6BYAAGSouILejBkzktyNI09k6NZodTFGeHsVFmMAAACbxBX0rrjiiujPPp8vui+Powsd8xUM76NnDd22t2FyIK19AwAAkOKco1ddXa2rr75affv2VW5urkpLSzVgwAD985//THb/MpYZbBT0WkBFDwAA2C2uoDdz5kx9/vnnWr58ubp166b8/HzdcMMNuu6665Ldv4wVMq2hW6daPlaFOXoAAMBucQW9N998U4sXL9bkyZPlcDhkGIYuu+wyffTRR8nuX8aKztEzWqvoRVbdEvQAAMhEpaWlKikpUWFhoebMmaPOeFhYXEFvxIgR+t3vfifJ2lPPMAz97W9/03HHHZfUzmWyJvvotcDliOyjx9AtAACZxuv1atq0aRo3bpzWr1+vsrIyLVu2zO5uJV1cizEeeughTZkyRQ8//LCqq6v1ve99T9u3b9eLL76Y7P5lLLOdoOd2MXQLAOiaTNNUnT+Y9vvmuJ0yWlgg2ZLXXntNlZWVWrRokXJzc3XPPffouuuu08yZM1Pcy/SKOegdPHhQNTU1euihh+T3+/Xll1/qqKOO0vnnn6/8/PxU9DEjRebotRr0HJHFGC4pxKpbAEDXUecPatTP/pz2+5bdNVm5no5Fm40bN2r8+PHKzc2VZJ05W1ZWlsru2aLDQc/v9+u6666LDtn26tVLhmFo3759cjgc+ve//6177703ZR3NNJENk41WV91GtldxUtEDACDDVFVVqbi4OPraMAw5nU5VVFSosLDQxp4lV4eD3m233aZXX31VL730ks466yw5ndb5rqFQSO+++65mzpypnj176uabb05ZZzNJdI5ea4sxwkO3VkWPoAcA6Dpy3E6V3TXZlvt2lMvlUlZWVpO27Oxs1dbWds2gt3LlSj3yyCM6++yzm7Q7HA6deeaZ+s1vfqPZs2d3maBndnDollW3AICuxjCMDg+h2qWoqEilpaVN2qqrq+XxeGzqUWp0eNXtF198oZNPPrnV35944onavn17Ujp1JAgG2wl6DN0CAJCxSkpKtG7duujr8vJyeb1eFRUV2dir5Otw3A4Gg02GbA8XCASiw5ldQXQxRitDty4nQ7cAAGSq0047TZWVlVq+fLkuv/xyzZ8/X5MmTWo15xypOhz0li5dmrSblpaWaubMmdqyZYuuuuoq3Xvvve0uh168eLF+/vOfa9++fZo4caJ+97vfqV+/fknrU6za20fP44zso8fQLQAAmcblcmnx4sW65JJLNGfOHAWDQa1atcrubiVdh4PeFVdckZQbRjYonDx5slauXKkf/vCHWrZsWZv71qxZs0a33367nnzySY0YMUKXXHKJfvKTn+jJJ59MSp/iEdk9u7Wxb1f0CDQn26sAAJCBpk+frs2bN2v9+vWaMGGCevfubXeXki6ukzES0XiDwqFDh+qee+7RkiVL2rzm448/1iOPPKJJkyZpwIABmjlzptavX5+mHresw0egySX569LWLwAA0HH9+/fXt771rU4Z8qQ4T8ZIRDwbFF555ZVNXn/88ccaNmxYq+/3er3yer3R11VVVQn0uGXtDd26w0O3AdMp+WqSfn8AAID2pL2i19YGhR2xf/9+PfbYY7r22mtbfc+8efOUn58f/Ro4cGDC/T5cZMNkRytTC5tU9LwEPQAAkH5pD3ptbVDYEddee60mTJigqVOntvqeuXPnqrKyMvq1Y8eOhPrcknb30Ytur+KSfNVJvz8AAEB70j50m8gGhb/97W+1evVqbdiwoc33ZWVlNQuTydbeEWiuyNCtnFT0AACALdJe0Yt3g8L3339fs2fP1sqVK9W3b99Ud7NdwegRaC3/3tN46JY5egAAwAZpD3qNNyiU1GSDwqqqKvn9zfec2717t6ZNm6abb75Z48aNU01NjWpq7A1PDdurtF3R85tU9AAAgD1smaO3ePFizZo1S3379tWzzz6r+fPnS7JW4L7yyivNrvnDH/6gPXv26LbbblNeXl70y07RVbcd2V6Fih4AABlp//79Ki4uVnl5ud1dSQlbThxubYPC1h7y7NmzNXv27PR1sAOiR6C18ntP9Ag0p+RlMQYAAJlm3759mjZtWqcNeZJNQU+yNijs37+/XbdPWMP2Km0P3foiFT3TlNo55g0AAKTPRRddpIsuuqjJ2oHOxragd6SLztHryD56oYAUqJfcOenqHgAA9jFNyd+xbdOSyp0bU1Fl8eLFGjJkSMaNGiYTQS9OITOyvUrL3I23V5GsBRkEPQBAV+Cvle45Ov33/Z8vJE+3Dr99yJAhKexMZkj7YozOor2h24aKnttqYNNkAACQZlT04mQtxnC0mpSbBT22WAEAdBXuXKu6Zsd90QRBL05mKBz0Wp2jF95HL/KI2WIFANBVGEZMQ6hIHYZu4xSMHIHWzmKMJnP0AAAA0oigF6fIYgxnqydjWI/WFwl6zNEDAABpxtBtnMIFvfaHbk0qegAAZLLIlmmdERW9OJmhdvbRc1iP1pShoGkwRw8AAKQdQS9OkSPQWt1Hz9XwaP1yUdEDAABpR9CLU8hsbx+9hgjol4s5egAAIO0IenEKdXDoVqKiBwAA7EHQi1PDWbctJz2Hw5DTEdlLz8kcPQAAkHYEvTi1d9atJLkcjTZN9jJ0CwAA0ougF6eg2fbQrSR5IsegmQzdAgCA9CPoxSm86LbNoOcKL8gIyMliDAAAkHYEvTi1t+pWajgGzcdiDAAAYAOCXpxC7SzGkA4775bFGAAAIM0IenFqb3sVScpyW4+3Th4qegAAIO0IenGKbq/SxnvysqyjhA+ZOZL/kBQKpaFnAAAAFoJenMIFPRltDN12z7aCXo1yrAaGbwEAQBoR9OIU6sD2Kt3DFb1qdbMaCHoAACCNCHpx6ljQc0uSapwFVgPz9AAAQBoR9OIUznltBr28yNCts4fVwF56AAAgjQh6cYqcjNHGFD11y3JKkmqMPKuBih4AAEgjgl6cIosxnG0txggP3VYb4Tl6nHcLAADSiKAXp45smBxZdXtIuVYDizEAAEAaEfTi1KE5elmHba9SX5niXgEAADQg6MUpFJ2j19bQbXh7FTMc9GoPpLxfAAAAEQS9OIU6UNGLbphsZlkNtftT3CsAAIAGBL04dSjoRYZug9Z3gh4AAEgngl6comfdtpH0ovvoBaxtVgh6AAAgnQh6cWo467b190QqeocChoKmwRw9AACQVgS9OAWjQ7etP8LIHD1JOqRsKnoAACCtCHpx6sj2KlkupzxO6xHXKMcKepELAQAAUoygF6eObJgsNV55myMFvZLvUMr7BgAAIBH04taw6radoBfZS89ZYDUwfAsAANKEoBenjmyvIkndIgsyPH2sBoIeAABIE4JenCIz7dqr6EWPQfP0shpYeQsAANKEoBen6PYq7ZT0onP0XEVWAxU9AACQJgS9OMU8R89VYDXU7kthrwAAABoQ9OIUDXodreg58q0GKnoAACBNCHpx6mhFLzpHz+huNRD0AABAmhD04hQKfzc6OHRboxyrgaAHAADShKAXp0hFz9nBodtqM9tqYNUtAABIE4JenGJdjFET8lgNVPQAAECaEPTiZHZ0jl5kMUbQ+k7QAwAA6ULQi1NIVsBrdx+9LLckqcYffl/tASkUauMKAACA5CDoxanDQ7eROXr+cIMZlLyVKewZAACAhaAXp0hNrv05ek5J0iFfUPLkWY0syAAAAGlA0ItTdI6eo+1HGB26rQ/IzOEYNAAAkD4EvTiFzPAcvQ4O3QZCprw5faxGgh4AAEgDgl6cguHv7Q3d5rqdiqzXqHSHg159Veo6BgAAEEbQi5MZrui1N3TrcBgqzLX20Ktw9bIa61mMAQAAUo+gF6foYox2tleRpMJuVtA74Ci0Ggh6AAAgDQh6cQpFK3rtB72icEXvoJFvNdQfTFW3AAAAogh6cWrYXqX9R1iQa628PWD2sBqo6AEAgDQg6MXJjKWiFx66rTC7WQ1eFmMAAIDUI+jFKXIyhtGBil50jl4g22qgogcAANKAoBenyFm3sczRqwhkWQ0EPQAAkAYEvTjFMkcvWtHzW5snE/QAAEA6EPTiFOrgPnqSVNTNWoxR4Q1X/9gwGQAApAFBL06Rodv2jkCTFN0w+YA3PLGvvrLhsFwAAIAUIejFKVLRc8ay6rYufHBayC/561LWNwAAAImgF7dIPa4jQ7eROXq1vpDqxYIMAACQHgS9OEVX3XZgMUZelkuucOXvYFY/q5G99AAAQIoR9OIUGbo1nO0/QsMwVBCZp+fqazVS0QMAAClG0ItTLBU9qdHKW1cfq4GgBwAAUoygFydTHd9eRWq08tbZ02og6AEAgBQj6MUpcgRaR4NedOWtUWg1EPQAAECKEfTiFMs+elKj0zGMfKuBoAcAAFKMoBenYPjRdbiiFznv1uxuNRD0AABAihH04hSZo+fs6By9SEUvmGs1EPQAAECKEfTiFMtZt1KjVbfB8IbJ7KMHAABSjKAXp+gcvQ4Gveg+en4r8FHRAwAAqUbQi1N0Hz2Hs0Pvj8zRO+gPv5+gBwAAUoygFycz5g2TraC3vz68SpegBwAAUoygF6dQjBsm5+daQ7beoFRvuqV65ugBAIDUIujFqWGOXsf20cvLcskZfm+lulHRAwAAKUfQi4NpmjJj3EfPMAzl51hVvUqzmxSokwLelPURAACAoBeHyPFnkuRwdmwxhiQVhIPeQUU2TWb4FgAApI4tQa+0tFQlJSUqLCzUnDlzZJpm+xdJ2rJli4qKilLcu/aFGvW3o4sxJKlHJOi5+lgN7KUHAABSKO1Bz+v1atq0aRo3bpzWr1+vsrIyLVu2rN3rtm3bpqlTp6qioiL1nWxHk6AXS0UvNxL0elkNtfuT2i8AAIDG0h70XnvtNVVWVmrRokUaOnSo7rnnHi1ZsqTd66ZOnaqrrroqDT1sX+MCZEfn6EkNQ7eV7r5WQ/WXyewWAABAE2kPehs3btT48eOVm2ud+TpmzBiVlZW1e93LL7+sCy+8sEP38Hq9qqqqavKVTE0qerEEvcimya6eVkP1rqT2CwAAoLG0B72qqioVFxdHXxuGIafT2e6Q7JAhQzp8j3nz5ik/Pz/6NXDgwLj725JQMBT92ejgyRiSoqtuDzoKrQYqegAAIIXSHvRcLpeysrKatGVnZ6u2tjZp95g7d64qKyujXzt27EjaZ0tSKBSM/hxbRS+y6jbPaqgi6AEAgNRxpfuGRUVFKi0tbdJWXV0tj8eTtHtkZWU1C5PJZIYaKnodPetWagh6laEcq4GKHgAASKG0V/RKSkq0bt266Ovy8nJ5vd6M2Dalo0KNg14M26sU5ITn6AXDoZY5egAAIIXSHvROO+00VVZWavny5ZKk+fPna9KkSXI6naqqqpLf7093l2LWeOjWiGHoNnLebaU/fA0VPQAAkEK2zNFbvHixZs2apb59++rZZ5/V/PnzJVkrcF955ZV0dylmwfBiDEOhmBZjRE/GqA+v2vVWSd6apPcPAABAsmGOniRNnz5dmzdv1vr16zVhwgT17t1bkjWM25bBgwd3+BSNVDLDFT2nQlIsQ7fh7VWqvUEF8nrI5a+SanZLWd1T0k8AANC12RL0JKl///7q37+/XbdPSMi0gp5DZkxBr0d2w+Ou6jZYRQc/lKq+kHoOTXofAQAAbDnr9kgXCllVRSPGoOdyOpSXZYW9g7lfsRpZkAEAAFKEoBeHUDAgSXIoJMUwR09qWJBxMCtczWRBBgAASBGCXhzMgE9SZOjWiOna6F56nHcLAABSjKAXh1DQ2gImnocX3UvP1ctqIOgBAIAUIejFIRDe689hhNp5Z3PRoVtHgdXAHD0AAJAiBL04+P3W0K1HgZivje6lFz3v9ouk9QsAAKAxgl4cIqd3eOKo6EXn6JmR8253SRmwNyAAAOh8CHpxiAQ9txFs553NReboVQbC590GvdKhvUnrGwAAQARBLw6+gDVk605kjl59UOo13Grc8X7S+gYAABBB0ItDQ0UvjqHb8By9A7V+afApVuP2tUnrGwAAQARBLw7+gDVk63bEPrduQGGuJKl83yGZX4kEvTVJ6xsAAEAEQS8OiSzGGNK7mxyGVFnn175eJVbjrn9L9ZXJ7CIAAABBLx6+BCp62W6nBhZZVb3Ndd2kwmLJDEmf/T2pfQQAACDoxSGRoVtJOqZPd0nSlj01jebpMXwLAACSi6AXB39k1W2cT29YH2uz5C17aqRB4aBX/tdkdA0AACCKoBeHSEXPE2dFb1i4ord5d400aILV+OUGKXyGLgAAQDIQ9OLgC1qLMOKt6EWHbvfWSPlfkVw5UiggHfwsWV0EAAAg6MXDH0gs6A0NB7291V4drA9IRcXWLw5sTUb3AAAAJBH04uIPhYOe04jr+u5ZLh2dny0pPE+vaIj1C4IeAABIIoJeHCIVPU8CT29Y30YLMqjoAQCAFCDoxcEXtBZhuJ3xP75hva3h2092U9EDAACpQdCLgz8a9OIbupWk0QN6SJLe/XiPzEIqegAAIPkIenHwhxIPet8cdZRy3E5t3XdIH9QdZTVWbJeCgWR0EQAAgKAXj0hFz5PA0G33LJfOHd1PkvTMf3yS0yOF/FLV50npIwAAAEEvDr4kDN1K0oUnDJAkvfzvXarNP8ZqZPgWAAAkCUEvDn5r0a3cLmdCn3NScZG+UpSrGm9Af3aeZjUS9AAAQJIQ9OIQDXrOxIKeYRiaMtqan7c+OMxqPLAtoc8EAACIIOjFwR+yhmw9rsQf3/DIfnq+IquBih4AAEgSgl4cfEkaupWkYeHj0D6tybIa9n+a8GcCAABIBL24RCp6bpcr4c8aGt44eV+9dNDsJu37RKo7mPDnAgAAEPTi0BD0Eq/odWt87m33EkmmtOPvCX8uAAAAQS8OftN6bJ4kVPQkaWh4+HZL/slWw/a/JuVzAQBA10bQi4MvUtFzu5PyeZF5elvcx1oN5QQ9AACQOIJeHCIVvWQM3UqNgp6/p9Xw5QbJW5OUzwYAAF0XQS8O0aCXrIpeeEHGloqglD9QCgWkz99PymcDAICui6AXB79pVfI8SR663XmwTnUDvmE1bl+blM8GAABdF0EvDr4kV/R6ds9SYa5bpil9WniK1cg8PQAAkCCCXhz8sip6yQp6UqN5ep5RVsPO9ZK/PmmfDwAAuh6CXhwahm49SfvMkf16SJJKq7Kl7n2loE/a+c+kfT4AAOh6CHpx8MvaP8/tSV7QG90/X5L0752V0qAJViP76QEAgAQQ9GJkmmZD0EtiRW/0ACvoffRFlUJfCc/TI+gBAIAEEPRi5PcHoj+7PVlJ+9xhvbsr2+1QjTegbT1KrMYd70tBf9LuAQAAuhaCXoz8voYFEp4kDt26nI6GeXp1vaScIslfK32xIWn3AAAAXQtBL0Z+nzf6s9udvIqe1Gie3hdVjebprUnqPQAAQNdB0IuRz++TJDkUkjOJc/Qk6auNF2R85WSr8fP1Sb0HAADoOgh6MfL7rKDnVkByJOes24hIRe+jL6oUKhpqNVbuSOo9AABA10HQi5E/XNHzKNDOO2N3TJ/uynKFF2SE+lqNlZ8n/T4AAKBrIOjFyO+zVsG6jWDSP9vldGhEeEFG2SHrpAzV7pf8dUm/FwAA6PwIejGKzNFzK/lBT5JGhYPepv0hyd3Naqz6IiX3AgAAnRtBL0Z+f6SiF0rJ54/qlydJ2vRllZTf32pknh4AAIgDQS9GkaDnScHQrdRw5m3Zl1VSj0jQ25mSewEAgM6NoBcjfyC1Fb3IHL3dVV4dyC22GqsIegAAIHYEvRj5wkegpSrodc9yaVDPXEnSJmOI1cjQLQAAiANBL0b+QDjoOVIT9CRp5FHh4VvfUVYDQ7cAACAOBL0Y+aMVPTNl94jM09t0yFqYwdAtAACIB0EvRv6gtQjD40hl0LMCXlll+OSNys8lM3X3AwAAnRNBL0a+gBX03CkMeqOOtip6W/b75TVdkq9Gqq9M2f0AAEDnRNCLUcMcvdQFvf4FOermcSoQMrUj6xirkeFbAAAQI4JejPzRil7q7mEYhgb3sk7F2Jo90mrkzFsAABAjgl6M/AFrta0nxU8uEvTKneG99Ah6AAAgRgS9GPmCqa/oSdKQcNDbZka2WCHoAQCA2BD0YuQPWhW9VAe9wT3DFb1AkdWw75PU3hAAAHQ6BL0Y+QPWIgy300jpfaJDt3XWKRn68sOU3g8AAHQ+BL0YRSp6nhQHveJw0PvykKk60yNVfibVHkjpPQEAQOdC0IuRL5ieil5hrls9sl2SpO15Y63GLzem9J4AAKBzIejFyB9KT9AzDEPFvbtLkrblnWA17mL4FgAAdBxBL0b+aEUv9Y+uuKc1P2+bJ7xpMhU9AAAQA4JejPzW7irypCHoRRdkRLZYIegBAIAYEPRi5LPWYsjtSkNFL7ry1vqu/Z9K3uqU3xcAAHQOBL0Y+SNBz+lM+b0ie+lt3l+vYPf+kkxpV2nK7wsAADoHgl6M/Gms6I3ol6eCXLcqav16t/sUq7H8vZTfFwAAdA4EvRj5Q9ZqW48r9RW9LJdTF44bIEla4f2G1fjXX0tVX6b83gAA4MhH0ItRwxw9V1rud8lJgyRJ7+5ya0efMyVftfTGrWm5NwAAOLIR9GLkC1mPzJ2Gip5kLcj4xjG9ZJrS4wU/kimHVPqc9N5CKRRKSx8AAMCRiaAXI79pDd2mq6InSZeNt6p6yz88pCu7P6T1oWNV/+Y87f3t97Rr8wdp6wcAADiypC+tdBL+cEXP407fo/vmqL669dyR+tWfP9bb+wr0tu6wfrFF0pYvNSnvEf3klCKNOOlsKadQqq+S1j4oHT1WGnFu2voJAAAyC0EvRn4zMnSbvkdnGIb+32lDdPrw3nrgzc1at3W/9h/yyZApydSb1V/RO68HNe/d/6f/mjBC+vh1af9myXBI339WGnZW2voKAAAyB0EvRr5I0HO7037vY/vm6Tff/7pM09S+Gp8Kct367NNNmvfSRr25N18/rZ+pf616W0ONYzTJVavB5k7pmZnSVW9KvY9Ne38BAIC9mKMXI7+NQS/CMAz1zsuS2+nQ0GOP0+M3XqxrzxgqSfpD8EzdHbhUU0MLVd73bMlbKS07V9q+Vgr62ZoFAIAuhIpejPymtdrWY2PQO5xhGPrpOSM0ZkC+1n66X+u27tcnu2v0I/91erbPbrn3bJSWnWcN5Yb80ok/kKb8UjIMu7sOAABSiIpejPyygp7blTlBL+Kcr/bTXd/6qpbNPFE9sl3a+MUh3ZS/UJ8fc5n2hLprS6C3TFPS+49Jb/5c1gsAANBZ2RL0SktLVVJSosLCQs2ZM0dmBwLHqlWrNHLkSPXq1UuLFi1KQy9b5gtX9Nwej219aM/RBTma/90xkqQX/71Hp/57ik70PqJJvgW6snCpKs1c6a8PSG/cxl58AAB0YmkfuvV6vZo2bZomT56slStX6oc//KGWLVummTNntnrN3r17df755+umm27SxRdfrIsuukhjx47VxIkT09hziz/8yDJp6LYl547up5VXj9ev39qstZ/ul2FIDsPQ27uy9K1uj+hO30KdtvYhGQe3Syf8t5TbU/pig1S9SzIMmaahTw5l6W/7u+vDymztrTU1NnePTu6+W2N7VCn76K9KQ86Q+oxkCBgAgAxlmB0ppyXRn/70J/33f/+3Pv/8c+Xm5mrjxo267rrrtGbNmlavuf/++/Xoo49q06ZNMgxDL7zwgp555hmtWLGiQ/esqqpSfn6+Kisr1aNHj7j7HgyZGvo/r0qS/vWjr6qw36C4Pyud9lTXq0e2W5t312jWin9q58E6SdIoY7uOMvar2szVp+bRqlWW3ArIo4ACcqpS3Vv8vCz5VGzskktB5bv8OrqHW0fnuayvwhwdVdhDnu495fDkyKGQnP5DctQfkGGGZHhyZSgk+Wpl7PtYOrBVRrfeUtFQGT2HSPkDJadLhmFICn85wt/DbdHfGeGfI0Gz8TXhrWeiw9NmyGqKtrXy3Qy18Ds1/C4UtL4bhuRwSU635PSEv5yS0nNiCoDEuByGcjxt/O/VcEhZLf8zEDiSpL2it3HjRo0fP165ubmSpDFjxqisrKzda84888zw/8FLJ554oubOndvq+71er7xeb/R1ZWWlJCvwJSIYMrVw7F75AkEFjbEJf166ZEvy1fk0qIehP8wYo8dWb9XK93eoNNhbperd6J1BWSHJqlZ6HNUa171CX+tWqZ65Dn1Q21PvH8jVPq9LZerVcFnN4Xesl7Szld5UN/r52PBXxIHwFwCk1kTHB3rQ85vW33DU8dLMV5J2v7y8vOj/hwHplPagV1VVpeLi4uhrwzDkdDpVUVGhwsLCVq8ZNWpU9HWPHj20c2drQUKaN2+e7rzzzmbtAwcOTKDnXdOnkp62uxMAkGTLw1+tWyPNzk/a/RIdUQLilfag53K5lJWV1aQtOztbtbW1rQa9w6+JvL81c+fO1Y033hh9HQqFdODAAfXs2TOp/0ZVVVWlgQMHaseOHfwPOA143unHM08vnnd6pfN55+XlpfTzgdakPegVFRWptLS0SVt1dbU8baxiLSoq0t69ezv8/qysrGZhsqCgIL4Od0CPHj34h3Ia8bzTj2eeXjzv9OJ5ozNL+/YqJSUlWrduXfR1eXm5vF6vioqKOnzNhg0b1L9//5T2EwAA4EiX9qB32mmnqbKyUsuXW7Mj5s+fr0mTJsnpdKqqqkp+v7/ZNeeff77WrFmjd955R4FAQAsWLNDkyZPT3XUAAIAjii1z9BYvXqxLLrlEc+bMUTAY1KpVqyRZK3Dvv/9+TZ8+vck1vXr10sKFCzV58mTl5+erW7duWrJkSbq73kxWVpZ+/vOfNxsmRmrwvNOPZ55ePO/04nmjK0j7PnoRO3fu1Pr16zVhwgT17t27/QskbdmyRZs2bdLpp5/OfAoAAIB22Bb0AAAAkFq2nHULAACA1CPoAYBN9u/fr7Vr12rfvn12dwVAJ0XQi1NpaalKSkpUWFioOXPmiBHw1Ni/f7+Ki4tVXl4ebePZp8YLL7ygIUOGyOVy6aSTTtKmTZsk8bxTZeXKlRo2bJiuu+46feUrX9HKlSsl8bzT4ZxzztGyZcsk8bzR+RH04uD1ejVt2jSNGzdO69evV1lZWfQfGkieffv26bzzzmsS8nj2qfHpp59q5syZmj9/vnbu3KlBgwbpqquu4nmnyMGDB3XDDTfovffe07/+9S899thjuvnmm3neafDkk0/qz3/+syT+eYIuwkTMnn/+ebOwsNA8dOiQaZqmuWHDBvOUU06xuVedz1lnnWXef//9piRz27Ztpmny7FPlpZdeMh955JHo67ffftv0eDw87xT57LPPzBUrVkRfb9y40czLy+N5p9j+/fvNvn37msOHDzeXLl3K80aXwKrbONx55536+9//rldffVWSZJqmevbsqQMHDtjcs85l69atGjJkiAzD0LZt2zR48GCefZo8+uijevDBB/Vf//VfPO8U8/v9uvLKK+VwOFRcXMzzTqGZM2cqOztbdXV1OuOMM7R9+3aeNzo9hm7jUFVVpeLi4uhrwzDkdDpVUVFhY686nyFDhjRr49mnns/n04IFC3TttdfyvFNs48aN6tu3r9544w3df//9PO8Ueuedd/TWW2/pl7/8ZbSN542ugKAXB5fL1Wwn9ezsbNXW1trUo66DZ596t912m7p3766rr76a551iY8aM0VtvvaXjjjtOM2fO5HmnSH19vX7wgx/okUceabLZPs8bXQFBLw5FRUXau3dvk7bq6mp5PB6betR18OxT6y9/+YseffRRPfXUU3K73TzvFDMMQ2PHjtWyZcv0wgsv8LxT5Be/+IVKSko0derUJu08b3QFaT/rtjMoKSnRE088EX1dXl4ur9eroqIiG3vVNfDsU2fr1q36/ve/r0ceeUSjRo2SxPNOlbfffluvvfaafvWrX0myKkuSNGLECJ53Cjz11FPau3evCgoKJEm1tbV6+umnNXjwYPn9/uj7eN7ojKjoxeG0005TZWWlli9fLkmaP3++Jk2aJKfTaXPPOj+efWrU1dXpvPPO0/Tp0/Wtb31LNTU1qqmp0Te+8Q2edwqMGDFCjz32mBYvXqwdO3bolltu0dlnn62pU6fyvFPgvffeU2lpqTZs2KANGzbo/PPP11133aXVq1fzvNH52bji94j2/PPPmzk5OWafPn3Mnj17mqWlpXZ3qdNSo+1VTJNnnwrPP/+8KanZ17Zt23jeKfL666+bI0eONPPy8swLLrjA3LNnj2ma/Pc7Ha644gpz6dKlpmnyvNH5sb1KAnbu3Kn169drwoQJ6t27t93d6VJ49unF804vnnd68bzRmRH0AAAAOinm6AEAAHRSBD0AAIBOiqAHAADQSRH0AAAAOimCHgAAQCdF0AO6mPfee0+7d++O69rDj4tqj2mamjdvngKBQJvvmz9/vurr6+PqEwCgdQQ94Ajy3nvvyeVyafDgwRo4cKB69eolyQpKeXl5Gjx4sHr06KG5c+e2+hmXXnqpSktLY773wYMH1b9/f23cuLHD19x1113aunVr9Iivxg4dOhQNjoFAQNdcc03MfQIAtI2gBxxBsrKydNRRR6m8vFz/+Mc/lJWVJUny+Xy69NJLVV5erssvvzzaHnH77bfr+OOP17hx41RRUaGbb75ZJ5xwQvTruOOO0xtvvNHkmlNPPVXDhw/XuHHjdMIJJ+iss85S9+7ddcEFF0SvGz16tIqLi/XWW2816+t//vMf/fGPf9TDDz8sSZo3b5569+4dfe+TTz4ZreLddttt2rFjh955552kPzMA6Mqa/2s2gIzlcDT9dzO32y3Jqo716dOn1esqKip02WWX6Sc/+UmLvz/jjDPk8/matD3//PPKyclR9+7dJUlXXnmlLrjgAt1yyy0yDEOSFAwG9eGHH+qrX/1qs8/83//9X911113RPi5evFiLFy/WY489prPOOks7duzQwIEDo+9fuHChZs+erYkTJ7b3GAAAHURFDziChEIhBYNBbdmyReXl5ZKseXBvvvmmTj75ZElWGCwvL1cgEFAwGIy2PfDAA02qeI2//vnPfzY7yP2BBx7Q2WefrQMHDuj999/X6tWrdfnll+vuu+/Wj370I4VCIc2aNUszZsyIBr8Iv9+vv/71r5o6dWq0zTRNHX/88Tpw4IDWrFmjU089tck1kd/t2bMn2Y8NALosKnrAESQUCunAgQOaMWOG/H6/JOm+++6TYRiaPHmyJGny5MmaNWuWjjrqKP3973/X0KFDZRiGTj/9dJ133nktfu5dd93VLKzdddddqq2t1ZtvvqlrrrlGZ599th5++GG98MILeuGFF/Tyyy9r27ZtWr16dbM5eNu3b9eQIUOatJumqd27dysvL09vvPGG7rzzzmb9KCkpUWlpqc4888yEnhMAwELQA44goVBIvXv31po1a7Rr1y6NHz9eF154oYYPH66PP/5YkjR06FD95S9/0dFHH60ePXpIUrSy15bD3+NwOHTnnXdq3759WrhwocrLy/Xaa69pxYoVKi0t1aRJk3Tw4EHl5eU1+6y9e/c2G0qeOnWqTj/9dC1YsECGYTQLlpLUu3dvKnoAkEQEPeAI0tI2Jbt27dL3vvc9jRw5Uvn5+aqrq9PatWv14YcfavTo0ZKk+vp6rVq1Sv/5z39a/NwdO3Y02d7E7/dr2bJl+uUvf6kbb7xRW7Zs0UsvvaSbb75Zzz33nObNm6cVK1bohRde0EMPPaSVK1dqyJAh0eu7d++u6urqJvd4+OGHNW/ePC1dulRf//rXNWrUKE2ZMkULFy6Mvqe6ujo6JxAAkDiCHnAEqamp0a5du9SrVy+Zpqm8vDyVlJTo6quv1pAhQ3T99ddHV7NGQp4kPfHEE00+JxAIqK6urkk1zjTN6M9+v1/Lly/X//3f/2nkyJGaMWOGrr32Wv3oRz/SihUrtGDBAm3atEnPPfecVqxYoX79+jX5/IEDB2rbtm3N+p+Xl6eKigq99NJLuvLKK/Xwww/rzjvvjIa7rVu3atCgQUl5VgAAFmMAR5Q9e/bo1FNP1b59+/TRRx9F26+++mr9+te/1sGDB3Xffffplltuif7uvffe07p16/Tll19Gq25z585t8p7f/va3mjFjRvS12+3WW2+9pXHjxik3N1dPP/20fvzjH8vtdmv06NGaPXt2dI7dxRdf3GwYtqCgQD169NCnn37apP3VV1/VlClTdODAAY0dO1b9+/dXRUWFJCvEfvrpp00CKgAgMQQ94AiyadMmHXvssc3aR4wYoalTp+qEE05Qt27ddMEFF0R/N2/ePJWVlcnhcOjLL7+UJF1zzTX65JNPFAwG5ff7de655+qdd97RAw88IMnaGmXMmDE6/vjj9bWvfS36VV1drfPPP79J29ixYzV+/PhmfZo1a5buvvvuJm3r1q3T+PHjVVBQoM2bN2vXrl0qKCiQJC1YsEBXXHFFsh4VAECSTABHjK997Wvm0qVLTdM0zc8++8wcPHiwaZqmGQwGzeuvv970eDzmN77xDbOsrMw0TdPcsmWL2b17d7OiosLctWuX6fF4zFAo1OQzJ06caK5evdp89913zXHjxpl+v7/V++fn55ubN2/uUF9DoZB56qmnmi+++KJpmqa5d+9ec9myZaZpmuYHH3xg9uvXz7zyyitN0zTNf/zjH+Zxxx1n1tXVdfxhAADaZZhmo4k5ADLWW2+9pXPPPVc7d+7UO++8o0cffVR1dXX6n//5H82bN0+S9Mwzz2jRokV64IEHNGHCBP3+97/X2rVrddFFF8nn8+m4445TIBBQt27dJFknagSDQX3wwQfKz89XMBhstp9eY9nZ2Xr//fc1ZsyYDvX5iy++0AUXXNDiFiyNTZ48WQsWLGDYFgCSjKAHHCGqq6v17rvvatq0aVq/fr3+8pe/6JJLLtG8efM0YMAA3XzzzdFTKD766CM988wzuuOOO+zttNRueOzoewAAsSPoAQAAdFIsxgAAAOikCHoAAACdFEEPAACgkyLoAQAAdFIEPQAAgE6KoAcAANBJEfQAAAA6KYIeAABAJ0XQAwAA6KT+P0jHpkS07aLDAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 636.861x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.displot(s_x,x='股息率(%)',kind=\"kde\",color='b',hue=\"return_10_shift_01\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1670d506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='return_10_shift_rank', ylabel='Proportion'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.ecdfplot(data=s_x, x=\"return_10_shift_rank\", hue=\"return_10_shift_01\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "579dd386",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1a11fd93610>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x750 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(s_x.sample(frac=0.05),vars=['return_10_shift_rank','股息率(%)','市盈率(静态)'],hue=\"return_10_shift_01\")\n",
    "g.map_upper(sns.scatterplot)\n",
    "g.map_lower(sns.kdeplot)\n",
    "g.map_diag(sns.kdeplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0087c917",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bdd7d417",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afc3435c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b55cd22f",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_daily=read_hq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7580ad01",
   "metadata": {},
   "outputs": [],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_list=[\"003002.SZ\",\"003003.SZ\",\"300001.SZ\"]\n",
    "buy_date={\"2020-09-22\":[\"003002.SZ\",\"003003.SZ\"]}\n",
    "sell_date={\"2023-02-02\":[\"003002.SZ\",\"003003.SZ\"]}\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f873b68f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2020-09-23, 买入003002.SZ, 成交量38006，成交价13.02\n",
      "2020-09-23, 买入003003.SZ, 成交量27075，成交价18.28\n",
      "2023-02-03, 卖出003002.SZ, 成交量-38006，成交价20.89\n",
      "2023-02-03, 卖出003003.SZ, 成交量-27075，成交价12.09\n",
      "最终资金: 1127333.06\n",
      "夏普比率: OrderedDict([('sharperatio', 0.13881751787754126)])\n",
      "回撤指标: AutoOrderedDict([('len', 58), ('drawdown', 8.112109741974255), ('moneydown', 99523.99033479998), ('max', AutoOrderedDict([('len', 455), ('drawdown', 47.60672029972452), ('moneydown', 563812.145)]))])\n"
     ]
    }
   ],
   "source": [
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8e3e3eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cash_value=pd.Series(result)\n",
    "cash_value.plot(figsize=(12,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6ce8085f",
   "metadata": {},
   "outputs": [],
   "source": [
    "index_zh_a_hist_df = ak.index_zh_a_hist(symbol=\"000300\", period=\"daily\", start_date=\"20180222\", end_date=\"20230210\")\n",
    "index_zh_a_hist_df.set_index(\"日期\",inplace=True)\n",
    "index_time=index_zh_a_hist_df[\"收盘\"][start.date().isoformat():end.date().isoformat()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b387f538",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='日期'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index_time_scale=index_time/index_time.iloc[0]\n",
    "index_time_scale.plot(figsize=(18,4))\n",
    "cash_value=pd.Series(result)/1000000\n",
    "cash_value.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2281978",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "edd40b20",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split \n",
    "\n",
    "#回归的评价 https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "#分类的评价 https://scikit-learn.org/stable/modules/model_evaluation.html#classification-metrics\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "dd2b8374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.26826088, 0.73173912])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.feature_importances_\n",
    "clf.predict(x2)\n",
    "z1=clf.predict_proba(x2)\n",
    "pd.Series(z1[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "488f06e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "period=30\n",
    "top_n=5\n",
    "time_id=pd.Series(stock_daily.date.unique()).sort_values().tolist()\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "stock_list=set([])\n",
    "for i in range(0,len(time_id),30):\n",
    "    stock_chi=stock_daily[(stock_daily[\"date\"]==time_id[i+1])&(stock_daily[\"open\"]!=stock_daily[\"close\"])][\"股票代码\"].tolist()\n",
    "    stock_onedate=stock_daily[(stock_daily[\"date\"]==time_id[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",'市盈率(静态)','总市值(万元)']].dropna()\n",
    "    xy_s_x_s=stock_onedate[['市盈率(静态)','总市值(万元)']].values\n",
    "    stock_onedate[\"score\"]=clf.predict_proba(xy_s_x_s)[:,1]\n",
    "    buy_list=stock_onedate.sort_values(\"score\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    buy_date.update({time_id[i].date().isoformat():buy_list})\n",
    "    sell_list=list(postion-set(buy_list))\n",
    "    sell_date.update({time_id[i].date().isoformat():sell_list})\n",
    "    postion=set(buy_list)\n",
    "    stock_list=stock_list|set(buy_list)\n",
    "stock_list=list(stock_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "2459535d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2018-01-03, 买入300214.SZ, 成交量11262，成交价16.30\n",
      "2018-01-03, 买入300489.SZ, 成交量4459，成交价40.54\n",
      "2018-01-03, 买入300387.SZ, 成交量5441，成交价33.16\n",
      "2018-01-03, 买入300280.SZ, 成交量4950，成交价36.37\n",
      "2018-01-03, 买入300354.SZ, 成交量4436，成交价40.60\n",
      "2018-02-14, 卖出300280.SZ, 成交量-4950，成交价30.32\n",
      "2018-02-14, 卖出300387.SZ, 成交量-5441，成交价30.16\n",
      "2018-02-14, 卖出300214.SZ, 成交量-11262，成交价15.54\n",
      "2018-02-14, 买入300489.SZ, 成交量630，成交价31.56\n",
      "2018-02-14, 买入300321.SZ, 成交量4688，成交价33.55\n",
      "2018-02-14, 买入300092.SZ, 成交量9042，成交价17.58\n",
      "2018-02-14, 买入300062.SZ, 成交量6780，成交价22.96\n",
      "2018-02-14, 买入300354.SZ, 成交量503，成交价31.57\n",
      "2018-04-04, 卖出300092.SZ, 成交量-9042，成交价19.34\n",
      "2018-04-04, 卖出300489.SZ, 成交量-5089，成交价35.69\n",
      "2018-04-04, 卖出300062.SZ, 成交量-6780，成交价26.17\n",
      "2018-04-04, 买入300404.SZ, 成交量4035，成交价44.38\n",
      "2018-04-04, 卖出300354.SZ, 成交量-689，成交价44.34\n",
      "2018-04-04, 买入300405.SZ, 成交量7889，成交价22.35\n",
      "2018-04-04, 买入300321.SZ, 成交量139，成交价36.82\n",
      "2018-04-04, 买入300218.SZ, 成交量10570，成交价16.50\n",
      "2018-05-22, 卖出300404.SZ, 成交量-4035，成交价44.20\n",
      "2018-05-22, 卖出300218.SZ, 成交量-10570，成交价16.67\n",
      "2018-05-22, 卖出300405.SZ, 成交量-7889，成交价23.25\n",
      "2018-05-22, 买入300330.SZ, 成交量7750，成交价22.84\n",
      "2018-05-22, 买入300354.SZ, 成交量410，成交价37.70\n",
      "2018-05-22, 买入300489.SZ, 成交量4862，成交价36.05\n",
      "2018-05-22, 卖出300321.SZ, 成交量-14，成交价36.63\n",
      "2018-05-22, 买入300029.SZ, 成交量23300，成交价7.53\n",
      "2018-07-04, 卖出300489.SZ, 成交量-4862，成交价28.86\n",
      "2018-07-04, 卖出300330.SZ, 成交量-7750，成交价19.89\n",
      "2018-07-04, 卖出300321.SZ, 成交量-4813，成交价29.87\n",
      "2018-07-04, 买入300069.SZ, 成交量5974，成交价24.61\n",
      "2018-07-04, 买入300405.SZ, 成交量8328，成交价17.61\n",
      "2018-07-04, 买入300092.SZ, 成交量9062，成交价16.05\n",
      "2018-07-04, 卖出300354.SZ, 成交量-47，成交价31.60\n",
      "2018-07-04, 买入300029.SZ, 成交量2017，成交价5.76\n",
      "2018-08-15, 卖出300092.SZ, 成交量-9062，成交价16.05\n",
      "2018-08-15, 卖出300354.SZ, 成交量-8，成交价30.51\n",
      "2018-08-15, 买入300330.SZ, 成交量7663，成交价18.35\n",
      "2018-08-15, 买入300069.SZ, 成交量549，成交价21.46\n",
      "2018-08-15, 买入300405.SZ, 成交量130，成交价16.61\n",
      "2018-08-15, 卖出300029.SZ, 成交量-922，成交价5.73\n",
      "2018-09-27, 卖出300405.SZ, 成交量-8458，成交价15.98\n",
      "2018-09-27, 卖出300069.SZ, 成交量-6523，成交价22.74\n",
      "2018-09-27, 买入300330.SZ, 成交量357，成交价17.31\n",
      "2018-09-27, 买入300551.SZ, 成交量7760，成交价17.89\n",
      "2018-09-27, 买入300521.SZ, 成交量8261，成交价16.79\n",
      "2018-09-27, 买入300029.SZ, 成交量33，成交价5.66\n",
      "2018-09-27, 买入300354.SZ, 成交量57，成交价29.75\n",
      "2018-11-15, 卖出300521.SZ, 成交量-8261，成交价18.74\n",
      "2018-11-15, 卖出300551.SZ, 成交量-7760，成交价18.82\n",
      "2018-11-15, 卖出300330.SZ, 成交量-8020，成交价16.88\n",
      "2018-11-15, 买入300588.SZ, 成交量8092，成交价17.77\n",
      "2018-11-15, 买入300665.SZ, 成交量8340，成交价17.12\n",
      "2018-11-15, 买入300268.SZ, 成交量6702，成交价21.16\n",
      "2018-11-15, 卖出300029.SZ, 成交量-152，成交价5.86\n",
      "2018-11-15, 买入300354.SZ, 成交量169，成交价29.23\n",
      "2018-12-27, 卖出300665.SZ, 成交量-8340，成交价15.93\n",
      "2018-12-27, 卖出300588.SZ, 成交量-8092，成交价18.11\n",
      "2018-12-27, 卖出300268.SZ, 成交量-6702，成交价22.72\n",
      "2018-12-27, 买入300330.SZ, 成交量8788，成交价15.43\n",
      "2018-12-27, 买入300489.SZ, 成交量5548，成交价24.51\n",
      "2018-12-27, 买入300029.SZ, 成交量3316，成交价4.95\n",
      "2018-12-27, 买入300442.SZ, 成交量10233，成交价13.25\n",
      "2018-12-27, 买入300354.SZ, 成交量249，成交价26.65\n",
      "2019-02-18, 买入300330.SZ, 成交量10，成交价15.49\n",
      "2019-02-18, 买入300489.SZ, 成交量67，成交价24.26\n",
      "2019-02-18, 卖出300354.SZ, 成交量-281，成交价28.40\n",
      "2019-02-18, 买入300442.SZ, 成交量460，成交价12.80\n",
      "2019-02-18, 卖出300029.SZ, 成交量-40，成交价4.93\n",
      "2019-04-01, 卖出300489.SZ, 成交量-5615，成交价30.93\n",
      "2019-04-01, 卖出300354.SZ, 成交量-4799，成交价35.43\n",
      "2019-04-01, 卖出300330.SZ, 成交量-8798，成交价20.46\n",
      "2019-04-01, 买入300321.SZ, 成交量4972，成交价33.30\n",
      "2019-04-01, 买入300592.SZ, 成交量14574，成交价11.50\n",
      "2019-04-01, 买入300442.SZ, 成交量411，成交价15.01\n",
      "2019-04-01, 买入300554.SZ, 成交量4907，成交价34.08\n",
      "2019-04-01, 买入300029.SZ, 成交量140，成交价6.06\n",
      "2019-05-17, 卖出300029.SZ, 成交量-27692，成交价6.44\n",
      "2019-05-17, 卖出300554.SZ, 成交量-4907，成交价30.32\n",
      "2019-05-17, 卖出300442.SZ, 成交量-11104，成交价14.30\n",
      "2019-05-17, 买入300665.SZ, 成交量8880，成交价17.86\n",
      "2019-05-17, 卖出300321.SZ, 成交量-17，成交价32.00\n",
      "2019-05-17, 买入300535.SZ, 成交量6675，成交价24.01\n",
      "2019-05-17, 买入300680.SZ, 成交量8217，成交价19.50\n",
      "2019-05-17, 买入300592.SZ, 成交量728，成交价10.41\n",
      "2019-07-01, 卖出300535.SZ, 成交量-6675，成交价24.51\n",
      "2019-07-01, 卖出300680.SZ, 成交量-8217，成交价20.10\n",
      "2019-07-01, 卖出300592.SZ, 成交量-583，成交价11.22\n",
      "2019-07-01, 买入300489.SZ, 成交量4709，成交价34.94\n",
      "2019-07-01, 买入300321.SZ, 成交量199，成交价31.99\n",
      "2019-07-01, 买入300665.SZ, 成交量137，成交价18.29\n",
      "2019-07-01, 买入300703.SZ, 成交量7250，成交价22.97\n",
      "2019-08-12, 卖出300665.SZ, 成交量-9017，成交价15.72\n",
      "2019-08-12, 卖出300703.SZ, 成交量-7250，成交价22.26\n",
      "2019-08-12, 卖出300489.SZ, 成交量-4709，成交价33.86\n",
      "2019-08-12, 买入300321.SZ, 成交量79，成交价28.78\n",
      "2019-08-12, 买入300680.SZ, 成交量8092，成交价18.63\n",
      "2019-08-12, 买入300592.SZ, 成交量686，成交价9.84\n",
      "2019-08-12, 买入300243.SZ, 成交量4838，成交价31.35\n",
      "2019-08-12, 买入300022.SZ, 成交量9855，成交价15.28\n",
      "2019-09-24, 卖出300243.SZ, 成交量-4838，成交价35.76\n",
      "2019-09-24, 卖出300022.SZ, 成交量-9855，成交价16.58\n",
      "2019-09-24, 卖出300680.SZ, 成交量-8092，成交价21.19\n",
      "2019-09-24, 买入300606.SZ, 成交量8860，成交价18.91\n",
      "2019-09-24, 买入300665.SZ, 成交量9869，成交价16.87\n",
      "2019-09-24, 卖出300592.SZ, 成交量-744，成交价11.38\n",
      "2019-09-24, 卖出300321.SZ, 成交量-32，成交价32.26\n",
      "2019-09-24, 买入300464.SZ, 成交量6164，成交价26.81\n",
      "2019-11-12, 卖出300606.SZ, 成交量-8860，成交价20.58\n",
      "2019-11-12, 卖出300321.SZ, 成交量-5201，成交价32.41\n",
      "2019-11-12, 卖出300464.SZ, 成交量-6164，成交价28.07\n",
      "2019-11-12, 卖出300592.SZ, 成交量-14661，成交价12.30\n",
      "2019-11-12, 买入300652.SZ, 成交量9040，成交价18.96\n",
      "2019-11-12, 买入300665.SZ, 成交量945，成交价16.01\n",
      "2019-11-12, 买入300243.SZ, 成交量5394，成交价31.96\n",
      "2019-11-12, 买入300106.SZ, 成交量18246，成交价9.47\n",
      "2019-11-12, 买入300022.SZ, 成交量11403，成交价15.04\n",
      "2019-12-24, 卖出300665.SZ, 成交量-10814，成交价16.59\n",
      "2019-12-24, 买入300668.SZ, 成交量4216，成交价42.03\n",
      "2019-12-24, 卖出300652.SZ, 成交量-209，成交价20.11\n",
      "2019-12-24, 买入300243.SZ, 成交量59，成交价32.44\n",
      "2019-12-24, 买入300022.SZ, 成交量35，成交价15.45\n",
      "2019-12-24, 买入300106.SZ, 成交量55，成交价9.65\n",
      "2020-02-13, 卖出300652.SZ, 成交量-8831，成交价19.68\n",
      "2020-02-13, 卖出300668.SZ, 成交量-4216，成交价42.03\n",
      "2020-02-13, 买入300592.SZ, 成交量16613，成交价10.11\n",
      "2020-02-13, 买入300243.SZ, 成交量163，成交价29.73\n",
      "2020-02-13, 买入300022.SZ, 成交量70，成交价14.68\n",
      "2020-02-13, 买入300665.SZ, 成交量10804，成交价15.59\n",
      "2020-02-13, 买入300106.SZ, 成交量1580，成交价8.51\n",
      "2020-03-26, 卖出300665.SZ, 成交量-10804，成交价16.77\n",
      "2020-03-26, 卖出300022.SZ, 成交量-11508，成交价16.09\n",
      "2020-03-26, 卖出300106.SZ, 成交量-19881，成交价9.62\n",
      "2020-03-26, 卖出300592.SZ, 成交量-16613，成交价11.59\n",
      "2020-03-26, 买入300421.SZ, 成交量15156，成交价12.34\n",
      "2020-03-26, 买入300243.SZ, 成交量80，成交价32.83\n",
      "2020-03-26, 买入300089.SZ, 成交量15849，成交价11.72\n",
      "2020-03-26, 买入300554.SZ, 成交量7181，成交价25.61\n",
      "2020-03-26, 买入300535.SZ, 成交量8641，成交价21.39\n",
      "2020-05-13, 卖出300243.SZ, 成交量-5696，成交价30.13\n",
      "2020-05-13, 卖出300089.SZ, 成交量-15849，成交价10.51\n",
      "2020-05-13, 卖出300421.SZ, 成交量-15156，成交价11.62\n",
      "2020-05-13, 卖出300535.SZ, 成交量-8641，成交价20.18\n",
      "2020-05-13, 买入300254.SZ, 成交量17455，成交价9.99\n",
      "2020-05-13, 买入300405.SZ, 成交量10710，成交价16.23\n",
      "2020-05-13, 买入300547.SZ, 成交量5915，成交价29.30\n",
      "2020-05-13, 买入300592.SZ, 成交量16999，成交价10.27\n",
      "2020-05-13, 卖出300554.SZ, 成交量-438，成交价25.80\n",
      "2020-06-24, 卖出300554.SZ, 成交量-6743，成交价27.03\n",
      "2020-06-24, 卖出300254.SZ, 成交量-17455，成交价10.16\n",
      "2020-06-24, 卖出300592.SZ, 成交量-16999，成交价12.88\n",
      "2020-06-24, 买入300665.SZ, 成交量11766，成交价15.90\n",
      "2020-06-24, 买入300446.SZ, 成交量6450，成交价29.07\n",
      "2020-06-24, 买入300405.SZ, 成交量474，成交价16.73\n",
      "2020-06-24, 买入300547.SZ, 成交量135，成交价30.96\n",
      "2020-06-24, 买入300312.SZ, 成交量15124，成交价12.22\n",
      "2020-08-07, 卖出300312.SZ, 成交量-15124，成交价15.01\n",
      "2020-08-07, 卖出300547.SZ, 成交量-6050，成交价38.22\n",
      "2020-08-07, 卖出300446.SZ, 成交量-6450，成交价34.45\n",
      "2020-08-07, 买入300716.SZ, 成交量14873，成交价14.63\n",
      "2020-08-07, 买入300071.SZ, 成交量8499，成交价25.60\n",
      "2020-08-07, 买入300665.SZ, 成交量410，成交价17.87\n",
      "2020-08-07, 买入300535.SZ, 成交量9678，成交价22.53\n",
      "2020-08-07, 卖出300405.SZ, 成交量-73，成交价19.67\n",
      "2020-09-18, 卖出300071.SZ, 成交量-8499，成交价39.96\n",
      "2020-09-18, 卖出300405.SZ, 成交量-11111，成交价41.95\n",
      "2020-09-18, 买入300716.SZ, 成交量4089，成交价15.62\n",
      "2020-09-18, 买入300665.SZ, 成交量1836，成交价21.02\n",
      "2020-09-18, 买入300535.SZ, 成交量1233，成交价26.99\n",
      "2020-09-18, 买入300557.SZ, 成交量9380，成交价31.66\n",
      "2020-09-18, 买入300446.SZ, 成交量10664，成交价27.82\n",
      "2020-11-09, 卖出300557.SZ, 成交量-9380，成交价37.50\n",
      "2020-11-09, 卖出300535.SZ, 成交量-10911，成交价30.83\n",
      "2020-11-09, 买入300500.SZ, 成交量7840，成交价43.88\n",
      "2020-11-09, 买入300101.SZ, 成交量2547，成交价134.79\n",
      "2020-11-09, 买入300665.SZ, 成交量499，成交价23.54\n",
      "2020-11-09, 卖出300446.SZ, 成交量-593，成交价33.44\n",
      "2020-11-09, 买入300716.SZ, 成交量1258，成交价16.85\n",
      "2020-12-21, 卖出300500.SZ, 成交量-7840，成交价37.63\n",
      "2020-12-21, 卖出300101.SZ, 成交量-2547，成交价129.15\n",
      "2020-12-21, 卖出300446.SZ, 成交量-10071，成交价30.94\n",
      "2020-12-21, 买入300254.SZ, 成交量28355，成交价10.49\n",
      "2020-12-21, 买入300716.SZ, 成交量1547，成交价13.73\n",
      "2020-12-21, 买入300557.SZ, 成交量10182，成交价29.20\n",
      "2020-12-21, 买入300665.SZ, 成交量1538，成交价18.45\n",
      "2020-12-21, 买入300668.SZ, 成交量7346，成交价40.65\n",
      "2021-02-02, 卖出300665.SZ, 成交量-16049，成交价16.08\n",
      "2021-02-02, 卖出300716.SZ, 成交量-21767，成交价10.53\n",
      "2021-02-02, 卖出300254.SZ, 成交量-28355，成交价7.96\n",
      "2021-02-02, 买入300167.SZ, 成交量9035，成交价26.99\n",
      "2021-02-02, 买入300668.SZ, 成交量280，成交价31.83\n",
      "2021-02-02, 买入300588.SZ, 成交量20635，成交价11.60\n",
      "2021-02-02, 买入300557.SZ, 成交量152，成交价23.41\n",
      "2021-02-02, 买入300312.SZ, 成交量23472，成交价10.37\n",
      "2021-03-23, 卖出300167.SZ, 成交量-9035，成交价30.96\n",
      "2021-03-23, 卖出300312.SZ, 成交量-23472，成交价18.40\n",
      "2021-03-23, 卖出300588.SZ, 成交量-20635，成交价12.89\n",
      "2021-03-23, 买入300750.SZ, 成交量959，成交价305.92\n",
      "2021-03-23, 买入300557.SZ, 成交量944，成交价26.22\n",
      "2021-03-23, 买入300254.SZ, 成交量32905，成交价8.98\n",
      "2021-03-23, 买入300668.SZ, 成交量1048，成交价34.39\n",
      "2021-03-23, 买入300446.SZ, 成交量10745，成交价27.86\n",
      "2021-05-10, 卖出300750.SZ, 成交量-959，成交价365.89\n",
      "2021-05-10, 卖出300254.SZ, 成交量-32905，成交价10.22\n",
      "2021-05-10, 卖出300446.SZ, 成交量-10745，成交价23.07\n",
      "2021-05-10, 买入300594.SZ, 成交量16036，成交价18.46\n",
      "2021-05-10, 买入300668.SZ, 成交量1068，成交价30.13\n",
      "2021-05-10, 买入300557.SZ, 成交量816，成交价24.33\n",
      "2021-05-10, 买入300210.SZ, 成交量13675，成交价21.52\n",
      "2021-05-10, 买入300700.SZ, 成交量19967，成交价14.69\n",
      "2021-06-22, 卖出300210.SZ, 成交量-13675，成交价24.21\n",
      "2021-06-22, 卖出300557.SZ, 成交量-12094，成交价27.34\n",
      "2021-06-22, 卖出300668.SZ, 成交量-9742，成交价35.27\n",
      "2021-06-22, 买入300606.SZ, 成交量17228，成交价19.01\n",
      "2021-06-22, 买入300534.SZ, 成交量15490，成交价21.29\n",
      "2021-06-22, 买入300535.SZ, 成交量14072，成交价23.57\n",
      "2021-06-22, 买入300594.SZ, 成交量669，成交价19.52\n",
      "2021-06-22, 卖出300700.SZ, 成交量-1166，成交价17.61\n",
      "2021-08-03, 卖出300606.SZ, 成交量-17228，成交价17.77\n",
      "2021-08-03, 卖出300534.SZ, 成交量-15490，成交价23.58\n",
      "2021-08-03, 卖出300535.SZ, 成交量-14072，成交价26.59\n",
      "2021-08-03, 买入300668.SZ, 成交量10003，成交价34.33\n",
      "2021-08-03, 买入300654.SZ, 成交量21771，成交价15.79\n",
      "2021-08-03, 卖出300700.SZ, 成交量-472，成交价18.62\n",
      "2021-08-03, 买入300362.SZ, 成交量138220，成交价2.46\n",
      "2021-08-03, 买入300594.SZ, 成交量1357，成交价18.79\n",
      "2021-09-14, 卖出300362.SZ, 成交量-138220，成交价3.96\n",
      "2021-09-14, 卖出300668.SZ, 成交量-10003，成交价36.53\n",
      "2021-09-14, 买入300557.SZ, 成交量13125，成交价29.52\n",
      "2021-09-14, 买入300535.SZ, 成交量14506，成交价26.54\n",
      "2021-09-14, 买入300654.SZ, 成交量2003，成交价16.23\n",
      "2021-09-14, 买入300700.SZ, 成交量2509，成交价18.66\n",
      "2021-09-14, 买入300594.SZ, 成交量1678，成交价19.57\n",
      "2021-11-04, 卖出300594.SZ, 成交量-19740，成交价21.03\n",
      "2021-11-04, 卖出300557.SZ, 成交量-13125，成交价26.31\n",
      "2021-11-04, 卖出300535.SZ, 成交量-14506，成交价23.79\n",
      "2021-11-04, 买入300554.SZ, 成交量13143，成交价27.51\n",
      "2021-11-04, 买入300654.SZ, 成交量682，成交价14.87\n",
      "2021-11-04, 买入300717.SZ, 成交量15587，成交价23.07\n",
      "2021-11-04, 买入300210.SZ, 成交量18949，成交价18.95\n",
      "2021-11-04, 买入300700.SZ, 成交量880，成交价16.40\n",
      "2021-12-16, 卖出300654.SZ, 成交量-24456，成交价17.23\n",
      "2021-12-16, 卖出300554.SZ, 成交量-13143，成交价30.34\n",
      "2021-12-16, 买入300717.SZ, 成交量109，成交价25.53\n",
      "2021-12-16, 买入300417.SZ, 成交量8598，成交价46.32\n",
      "2021-12-16, 买入300535.SZ, 成交量15057，成交价26.49\n",
      "2021-12-16, 买入300700.SZ, 成交量188，成交价18.31\n",
      "2021-12-16, 卖出300210.SZ, 成交量-525，成交价21.70\n",
      "2022-01-28, 卖出300417.SZ, 成交量-8598，成交价39.74\n",
      "2022-01-28, 卖出300700.SZ, 成交量-21906，成交价23.03\n",
      "2022-01-28, 卖出300535.SZ, 成交量-15057，成交价25.31\n",
      "2022-01-28, 卖出300717.SZ, 成交量-15696，成交价25.20\n",
      "2022-01-28, 买入300554.SZ, 成交量14305，成交价27.97\n",
      "2022-01-28, 买入300654.SZ, 成交量25983，成交价15.41\n",
      "2022-01-28, 买入300534.SZ, 成交量10814，成交价36.70\n",
      "2022-01-28, 买入300594.SZ, 成交量22963，成交价17.67\n",
      "2022-01-28, 买入300210.SZ, 成交量1570，成交价20.14\n",
      "2022-03-18, 卖出300654.SZ, 成交量-25983，成交价18.65\n",
      "2022-03-18, 卖出300534.SZ, 成交量-10814，成交价48.70\n",
      "2022-03-18, 卖出300554.SZ, 成交量-14305，成交价29.52\n",
      "2022-03-18, 买入300535.SZ, 成交量17789，成交价24.91\n",
      "2022-03-18, 买入300417.SZ, 成交量11376，成交价39.11\n",
      "2022-03-18, 买入300606.SZ, 成交量26324，成交价16.90\n",
      "2022-03-18, 买入300594.SZ, 成交量2575，成交价17.68\n",
      "2022-03-18, 买入300210.SZ, 成交量978，成交价21.04\n",
      "2022-05-06, 卖出300417.SZ, 成交量-11376，成交价31.47\n",
      "2022-05-06, 卖出300210.SZ, 成交量-20972，成交价18.17\n",
      "2022-05-06, 卖出300606.SZ, 成交量-26324，成交价16.40\n",
      "2022-05-06, 买入300330.SZ, 成交量22852，成交价16.88\n",
      "2022-05-06, 买入300594.SZ, 成交量1303，成交价14.33\n",
      "2022-05-06, 买入300321.SZ, 成交量12481，成交价30.47\n",
      "2022-05-06, 买入300535.SZ, 成交量719，成交价20.87\n",
      "2022-05-06, 买入300736.SZ, 成交量17833，成交价22.00\n",
      "2022-06-20, 卖出300594.SZ, 成交量-26841，成交价16.72\n",
      "2022-06-20, 卖出300330.SZ, 成交量-22852，成交价19.70\n",
      "2022-06-20, 卖出300321.SZ, 成交量-12481，成交价34.85\n",
      "2022-06-20, 买入003023.SZ, 成交量19295，成交价22.19\n",
      "2022-06-20, 卖出300535.SZ, 成交量-43，成交价23.31\n",
      "2022-06-20, 买入300417.SZ, 成交量11953，成交价35.90\n",
      "2022-06-20, 买入300779.SZ, 成交量31565，成交价13.70\n",
      "2022-06-20, 买入300736.SZ, 成交量32，成交价23.97\n",
      "2022-08-01, 卖出003023.SZ, 成交量-19295，成交价23.64\n",
      "2022-08-01, 卖出300535.SZ, 成交量-18465，成交价24.49\n",
      "2022-08-01, 买入300626.SZ, 成交量25719，成交价17.86\n",
      "2022-08-01, 买入300321.SZ, 成交量12642，成交价36.73\n",
      "2022-08-01, 卖出300779.SZ, 成交量-673，成交价15.00\n",
      "2022-08-01, 卖出300417.SZ, 成交量-413，成交价40.15\n",
      "2022-08-01, 买入300736.SZ, 成交量231，成交价25.38\n",
      "2022-09-13, 卖出300417.SZ, 成交量-11540，成交价39.53\n",
      "2022-09-13, 卖出300736.SZ, 成交量-18096，成交价28.70\n",
      "2022-09-13, 卖出300779.SZ, 成交量-30892，成交价16.13\n",
      "2022-09-13, 卖出300626.SZ, 成交量-25719，成交价16.31\n",
      "2022-09-13, 卖出300321.SZ, 成交量-12642，成交价36.67\n",
      "2022-09-13, 买入300535.SZ, 成交量18766，成交价24.86\n",
      "2022-09-13, 买入300330.SZ, 成交量35298，成交价13.20\n",
      "2022-09-13, 买入300899.SZ, 成交量20318，成交价23.04\n",
      "2022-09-13, 买入300823.SZ, 成交量23689，成交价19.67\n",
      "2022-09-13, 买入300158.SZ, 成交量14439，成交价32.85\n",
      "2022-11-01, 卖出300899.SZ, 成交量-20318，成交价21.65\n",
      "2022-11-01, 卖出300158.SZ, 成交量-14439，成交价31.26\n",
      "2022-11-01, 卖出300330.SZ, 成交量-35298，成交价11.49\n",
      "2022-11-01, 买入300854.SZ, 成交量26291，成交价16.05\n",
      "2022-11-01, 买入300920.SZ, 成交量25683，成交价16.83\n",
      "2022-11-01, 买入300823.SZ, 成交量716，成交价17.53\n",
      "2022-11-01, 买入300535.SZ, 成交量543，成交价22.33\n",
      "2022-11-01, 买入300677.SZ, 成交量3492，成交价122.49\n",
      "2022-12-13, 卖出300535.SZ, 成交量-19309，成交价26.62\n",
      "2022-12-13, 卖出300920.SZ, 成交量-25683，成交价19.19\n",
      "2022-12-13, 卖出300677.SZ, 成交量-3492，成交价153.40\n",
      "2022-12-13, 买入300321.SZ, 成交量13964，成交价34.74\n",
      "2022-12-13, 买入300750.SZ, 成交量1163，成交价417.28\n",
      "2022-12-13, 买入300478.SZ, 成交量24847，成交价19.50\n",
      "2022-12-13, 买入300823.SZ, 成交量2385，成交价18.21\n",
      "2022-12-13, 买入300854.SZ, 成交量1883，成交价17.14\n",
      "2023-02-01, 卖出300750.SZ, 成交量-1163，成交价473.58\n",
      "2023-02-01, 卖出300321.SZ, 成交量-13964，成交价35.42\n",
      "2023-02-01, 买入300920.SZ, 成交量26742，成交价18.26\n",
      "2023-02-01, 买入300478.SZ, 成交量639，成交价19.19\n",
      "2023-02-01, 买入300854.SZ, 成交量1272，成交价16.62\n",
      "2023-02-01, 买入301036.SZ, 成交量26979，成交价18.16\n",
      "2023-02-01, 卖出300823.SZ, 成交量-83，成交价18.39\n",
      "最终资金: 2808564.75\n",
      "夏普比率: OrderedDict([('sharperatio', 0.7827799003367865)])\n",
      "回撤指标: AutoOrderedDict([('len', 0), ('drawdown', 0.0), ('moneydown', 0.0), ('max', AutoOrderedDict([('len', 480), ('drawdown', 38.1876775147495), ('moneydown', 742615.8933581999)]))])\n"
     ]
    }
   ],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()\n",
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b834349f",
   "metadata": {},
   "outputs": [],
   "source": [
    "xy=stock_daily[['市盈率(静态)','总市值(万元)',\"return_30_shift30_rank\"]].dropna()\n",
    "xy_s=xy.sample(frac=0.4)\n",
    "xy_s_x=xy_s[['市盈率(静态)','总市值(万元)']].values\n",
    "xy_s_y=xy_s[\"return_30_shift30_rank\"].values\n",
    "x1,x2,y1,y2=train_test_split(xy_s_x,xy_s_y,test_size=0.7)#分割数据出训练集与测试集，0.7是两者行数的比例\n",
    "clf = GradientBoostingRegressor()\n",
    "clf = clf.fit(x1,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "21917852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.011667212335054744"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ca5c7f83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1310599815117247"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f7f3e599",
   "metadata": {},
   "outputs": [],
   "source": [
    "period=30\n",
    "top_n=5\n",
    "time_id=pd.Series(stock_daily.date.unique()).sort_values().tolist()\n",
    "buy_date={}\n",
    "sell_date={}\n",
    "postion=set([])\n",
    "stock_list=set([])\n",
    "for i in range(0,len(time_id),30):\n",
    "    stock_chi=stock_daily[(stock_daily[\"date\"]==time_id[i+1])&(stock_daily[\"open\"]!=stock_daily[\"close\"])][\"股票代码\"].tolist()\n",
    "    stock_onedate=stock_daily[(stock_daily[\"date\"]==time_id[i])&stock_daily[\"股票代码\"].isin(stock_chi)][[\"股票代码\",'市盈率(静态)','总市值(万元)']].dropna()\n",
    "    xy_s_x=stock_onedate[['市盈率(静态)','总市值(万元)']].values\n",
    "    stock_onedate[\"score\"]=clf.predict(xy_s_x)\n",
    "    buy_list=stock_onedate.sort_values(\"score\").tail(5)[\"股票代码\"].tolist()\n",
    "\n",
    "    buy_date.update({time_id[i].date().isoformat():buy_list})\n",
    "    sell_list=list(postion-set(buy_list))\n",
    "    sell_date.update({time_id[i].date().isoformat():sell_list})\n",
    "    postion=set(buy_list)\n",
    "    stock_list=stock_list|set(buy_list)\n",
    "stock_list=list(stock_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "cc40d0a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-01-02 2023-02-10\n",
      "初始资金: 1000000.00\n",
      "2018-01-03, 买入300214.SZ, 成交量11262，成交价16.30\n",
      "2018-01-03, 买入300305.SZ, 成交量6214，成交价28.97\n",
      "2018-01-03, 买入300354.SZ, 成交量4436，成交价40.60\n",
      "2018-01-03, 买入300387.SZ, 成交量5441，成交价33.16\n",
      "2018-01-03, 买入300489.SZ, 成交量4459，成交价40.54\n",
      "2018-02-14, 卖出300489.SZ, 成交量-4459，成交价31.56\n",
      "2018-02-14, 卖出300387.SZ, 成交量-5441，成交价30.16\n",
      "2018-02-14, 卖出300305.SZ, 成交量-6214，成交价24.73\n",
      "2018-02-14, 卖出300214.SZ, 成交量-11262，成交价15.54\n",
      "2018-02-14, 买入300218.SZ, 成交量10242，成交价15.17\n",
      "2018-02-14, 买入300573.SZ, 成交量7793，成交价19.97\n",
      "2018-02-14, 买入300220.SZ, 成交量3524，成交价43.67\n",
      "2018-02-14, 买入300354.SZ, 成交量481，成交价31.57\n",
      "2018-02-14, 买入300404.SZ, 成交量5692，成交价27.23\n",
      "2018-04-04, 卖出300220.SZ, 成交量-3524，成交价52.17\n",
      "2018-04-04, 卖出300354.SZ, 成交量-4917，成交价44.34\n",
      "2018-04-04, 卖出300573.SZ, 成交量-7793，成交价24.92\n",
      "2018-04-04, 买入300551.SZ, 成交量7855，成交价24.76\n",
      "2018-04-04, 买入300443.SZ, 成交量3370，成交价57.84\n",
      "2018-04-04, 买入300218.SZ, 成交量1458，成交价16.50\n",
      "2018-04-04, 买入300321.SZ, 成交量5343，成交价36.82\n",
      "2018-04-04, 卖出300404.SZ, 成交量-1224，成交价44.38\n",
      "2018-05-22, 卖出300551.SZ, 成交量-7855，成交价26.25\n",
      "2018-05-22, 卖出300404.SZ, 成交量-4468，成交价44.20\n",
      "2018-05-22, 卖出300443.SZ, 成交量-3370，成交价55.33\n",
      "2018-05-22, 卖出300218.SZ, 成交量-11700，成交价16.67\n",
      "2018-05-22, 买入300305.SZ, 成交量7389，成交价26.98\n",
      "2018-05-22, 买入300405.SZ, 成交量8518，成交价23.25\n",
      "2018-05-22, 买入300242.SZ, 成交量5824，成交价34.74\n",
      "2018-05-22, 买入300321.SZ, 成交量117，成交价36.63\n",
      "2018-05-22, 买入300029.SZ, 成交量26440，成交价7.53\n",
      "2018-07-04, 卖出300029.SZ, 成交量-26440，成交价5.76\n",
      "2018-07-04, 卖出300305.SZ, 成交量-7389，成交价22.61\n",
      "2018-07-04, 卖出300321.SZ, 成交量-5460，成交价29.87\n",
      "2018-07-04, 卖出300242.SZ, 成交量-5824，成交价37.26\n",
      "2018-07-04, 买入300405.SZ, 成交量1323，成交价17.61\n",
      "2018-07-04, 买入300330.SZ, 成交量8740，成交价19.89\n",
      "2018-07-04, 买入300126.SZ, 成交量9073，成交价19.02\n",
      "2018-07-04, 买入300092.SZ, 成交量10709，成交价16.05\n",
      "2018-07-04, 买入300354.SZ, 成交量5450，成交价31.60\n",
      "2018-08-15, 卖出300126.SZ, 成交量-9073，成交价19.68\n",
      "2018-08-15, 卖出300405.SZ, 成交量-9841，成交价16.61\n",
      "2018-08-15, 卖出300092.SZ, 成交量-326，成交价16.05\n",
      "2018-08-15, 买入300483.SZ, 成交量6997，成交价23.92\n",
      "2018-08-15, 买入300354.SZ, 成交量44，成交价30.51\n",
      "2018-08-15, 买入300330.SZ, 成交量405，成交价18.35\n",
      "2018-08-15, 买入300268.SZ, 成交量6841，成交价24.16\n",
      "2018-09-27, 卖出300092.SZ, 成交量-10383，成交价19.67\n",
      "2018-09-27, 卖出300483.SZ, 成交量-6997，成交价27.07\n",
      "2018-09-27, 卖出300268.SZ, 成交量-6841，成交价23.31\n",
      "2018-09-27, 买入300442.SZ, 成交量11641，成交价15.04\n",
      "2018-09-27, 买入300489.SZ, 成交量6000，成交价29.06\n",
      "2018-09-27, 买入300126.SZ, 成交量9430，成交价18.44\n",
      "2018-09-27, 买入300354.SZ, 成交量376，成交价29.75\n",
      "2018-09-27, 买入300330.SZ, 成交量953，成交价17.31\n",
      "2018-11-15, 卖出300126.SZ, 成交量-9430，成交价20.99\n",
      "2018-11-15, 卖出300489.SZ, 成交量-6000，成交价27.05\n",
      "2018-11-15, 买入300211.SZ, 成交量5420，成交价31.85\n",
      "2018-11-15, 买入300354.SZ, 成交量18，成交价29.23\n",
      "2018-11-15, 买入300330.SZ, 成交量105，成交价16.88\n",
      "2018-11-15, 买入300268.SZ, 成交量8168，成交价21.16\n",
      "2018-11-15, 买入300442.SZ, 成交量395，成交价14.51\n",
      "2018-12-27, 卖出300211.SZ, 成交量-5420，成交价31.60\n",
      "2018-12-27, 卖出300442.SZ, 成交量-12036，成交价13.25\n",
      "2018-12-27, 卖出300268.SZ, 成交量-8168，成交价22.72\n",
      "2018-12-27, 买入300405.SZ, 成交量10917，成交价15.45\n",
      "2018-12-27, 买入300665.SZ, 成交量10510，成交价15.93\n",
      "2018-12-27, 买入300321.SZ, 成交量6179，成交价27.04\n",
      "2018-12-27, 买入300330.SZ, 成交量630，成交价15.43\n",
      "2018-12-27, 买入300354.SZ, 成交量374，成交价26.65\n",
      "2019-02-18, 卖出300665.SZ, 成交量-10510，成交价16.51\n",
      "2019-02-18, 卖出300321.SZ, 成交量-6179，成交价27.83\n",
      "2019-02-18, 买入300330.SZ, 成交量108，成交价15.49\n",
      "2019-02-18, 卖出300354.SZ, 成交量-295，成交价28.40\n",
      "2019-02-18, 买入300592.SZ, 成交量18254，成交价9.29\n",
      "2019-02-18, 买入300489.SZ, 成交量6982，成交价24.26\n",
      "2019-02-18, 买入300405.SZ, 成交量578，成交价14.63\n",
      "2019-04-01, 卖出300405.SZ, 成交量-11495，成交价17.85\n",
      "2019-04-01, 卖出300330.SZ, 成交量-10941，成交价20.46\n",
      "2019-04-01, 卖出300592.SZ, 成交量-4，成交价11.50\n",
      "2019-04-01, 卖出300354.SZ, 成交量-57，成交价35.43\n",
      "2019-04-01, 买入300321.SZ, 成交量6225，成交价33.30\n",
      "2019-04-01, 买入300442.SZ, 成交量13904，成交价15.01\n",
      "2019-04-01, 卖出300489.SZ, 成交量-239，成交价30.93\n",
      "2019-05-17, 卖出300592.SZ, 成交量-18250，成交价10.41\n",
      "2019-05-17, 卖出300354.SZ, 成交量-5910，成交价36.58\n",
      "2019-05-17, 卖出300321.SZ, 成交量-6225，成交价32.00\n",
      "2019-05-17, 卖出300442.SZ, 成交量-13904，成交价14.30\n",
      "2019-05-17, 买入300650.SZ, 成交量8100，成交价25.32\n",
      "2019-05-17, 买入300606.SZ, 成交量11486，成交价17.70\n",
      "2019-05-17, 卖出300489.SZ, 成交量-756，成交价34.06\n",
      "2019-05-17, 买入300680.SZ, 成交量10555，成交价19.50\n",
      "2019-05-17, 买入300644.SZ, 成交量7079，成交价28.75\n",
      "2019-07-01, 卖出300606.SZ, 成交量-11486，成交价20.28\n",
      "2019-07-01, 卖出300644.SZ, 成交量-7079，成交价28.76\n",
      "2019-07-01, 卖出300489.SZ, 成交量-5987，成交价34.94\n",
      "2019-07-01, 买入300535.SZ, 成交量8859，成交价24.51\n",
      "2019-07-01, 买入300321.SZ, 成交量6763，成交价31.99\n",
      "2019-07-01, 买入300521.SZ, 成交量11630，成交价18.58\n",
      "2019-07-01, 买入300650.SZ, 成交量309，成交价25.72\n",
      "2019-07-01, 卖出300680.SZ, 成交量-220，成交价20.10\n",
      "2019-08-12, 卖出300521.SZ, 成交量-11630，成交价17.54\n",
      "2019-08-12, 卖出300650.SZ, 成交量-8409，成交价25.18\n",
      "2019-08-12, 卖出300535.SZ, 成交量-8859，成交价23.05\n",
      "2019-08-12, 卖出300321.SZ, 成交量-6763，成交价28.78\n",
      "2019-08-12, 买入300680.SZ, 成交量523，成交价18.63\n",
      "2019-08-12, 买入300341.SZ, 成交量10055，成交价19.93\n",
      "2019-08-12, 买入300022.SZ, 成交量13224，成交价15.28\n",
      "2019-08-12, 买入300592.SZ, 成交量20671，成交价9.84\n",
      "2019-08-12, 买入300665.SZ, 成交量12854，成交价15.72\n",
      "2019-09-24, 卖出300022.SZ, 成交量-13224，成交价16.58\n",
      "2019-09-24, 卖出300341.SZ, 成交量-10055，成交价22.98\n",
      "2019-09-24, 卖出300592.SZ, 成交量-20671，成交价11.38\n",
      "2019-09-24, 卖出300680.SZ, 成交量-10858，成交价21.19\n",
      "2019-09-24, 买入300665.SZ, 成交量327，成交价16.87\n",
      "2019-09-24, 买入300321.SZ, 成交量6944，成交价32.26\n",
      "2019-09-24, 买入300535.SZ, 成交量9079，成交价24.59\n",
      "2019-09-24, 买入300489.SZ, 成交量5772，成交价38.47\n",
      "2019-09-24, 买入300464.SZ, 成交量8232，成交价26.81\n",
      "2019-11-12, 卖出300665.SZ, 成交量-13181，成交价16.01\n",
      "2019-11-12, 卖出300489.SZ, 成交量-5772，成交价35.10\n",
      "2019-11-12, 卖出300535.SZ, 成交量-9079，成交价22.30\n",
      "2019-11-12, 卖出300321.SZ, 成交量-6944，成交价32.41\n",
      "2019-11-12, 买入300539.SZ, 成交量14456，成交价14.95\n",
      "2019-11-12, 买入300680.SZ, 成交量10939，成交价19.65\n",
      "2019-11-12, 买入300022.SZ, 成交量14215，成交价15.04\n",
      "2019-11-12, 卖出300464.SZ, 成交量-674，成交价28.07\n",
      "2019-11-12, 买入300606.SZ, 成交量10490，成交价20.58\n",
      "2019-12-24, 卖出300606.SZ, 成交量-10490，成交价21.44\n",
      "2019-12-24, 卖出300539.SZ, 成交量-14456，成交价15.57\n",
      "2019-12-24, 卖出300464.SZ, 成交量-7558，成交价35.21\n",
      "2019-12-24, 卖出300680.SZ, 成交量-10939，成交价21.96\n",
      "2019-12-24, 买入300106.SZ, 成交量24075，成交价9.65\n",
      "2019-12-24, 买入300022.SZ, 成交量831，成交价15.45\n",
      "2019-12-24, 买入300489.SZ, 成交量6062，成交价38.49\n",
      "2019-12-24, 买入300236.SZ, 成交量3730，成交价62.65\n",
      "2019-12-24, 买入300548.SZ, 成交量3224，成交价73.75\n",
      "2020-02-13, 卖出300022.SZ, 成交量-15046，成交价14.68\n",
      "2020-02-13, 卖出300236.SZ, 成交量-3730，成交价148.65\n",
      "2020-02-13, 买入300548.SZ, 成交量108，成交价89.32\n",
      "2020-02-13, 买入300665.SZ, 成交量18960，成交价15.59\n",
      "2020-02-13, 买入300106.SZ, 成交量10814，成交价8.51\n",
      "2020-02-13, 买入300547.SZ, 成交量9167，成交价32.15\n",
      "2020-02-13, 买入300489.SZ, 成交量260，成交价47.08\n",
      "2020-03-26, 卖出300665.SZ, 成交量-18960，成交价16.77\n",
      "2020-03-26, 卖出300489.SZ, 成交量-6322，成交价74.22\n",
      "2020-03-26, 卖出300106.SZ, 成交量-34889，成交价9.62\n",
      "2020-03-26, 卖出300547.SZ, 成交量-9167，成交价31.28\n",
      "2020-03-26, 买入300650.SZ, 成交量13188，成交价25.62\n",
      "2020-03-26, 买入300421.SZ, 成交量27471，成交价12.34\n",
      "2020-03-26, 买入300022.SZ, 成交量21115，成交价16.09\n",
      "2020-03-26, 买入300554.SZ, 成交量13017，成交价25.61\n",
      "2020-03-26, 买入300548.SZ, 成交量506，成交价88.05\n",
      "2020-05-13, 卖出300022.SZ, 成交量-21115，成交价21.81\n",
      "2020-05-13, 卖出300421.SZ, 成交量-27471，成交价11.62\n",
      "2020-05-13, 卖出300548.SZ, 成交量-3838，成交价100.92\n",
      "2020-05-13, 卖出300650.SZ, 成交量-13188，成交价25.13\n",
      "2020-05-13, 买入300554.SZ, 成交量825，成交价25.80\n",
      "2020-05-13, 买入300592.SZ, 成交量34898，成交价10.27\n",
      "2020-05-13, 买入300254.SZ, 成交量35834，成交价9.99\n",
      "2020-05-13, 买入300557.SZ, 成交量13629，成交价25.99\n",
      "2020-05-13, 买入300665.SZ, 成交量22940，成交价15.59\n",
      "2020-06-24, 卖出300665.SZ, 成交量-22940，成交价15.90\n",
      "2020-06-24, 卖出300557.SZ, 成交量-13629，成交价29.62\n",
      "2020-06-24, 卖出300592.SZ, 成交量-34898，成交价12.88\n",
      "2020-06-24, 买入300554.SZ, 成交量841，成交价27.03\n",
      "2020-06-24, 买入300312.SZ, 成交量32088，成交价12.22\n",
      "2020-06-24, 买入300254.SZ, 成交量3187，成交价10.16\n",
      "2020-06-24, 买入300632.SZ, 成交量10835，成交价36.99\n",
      "2020-06-24, 买入300517.SZ, 成交量22913，成交价17.25\n",
      "2020-08-07, 卖出300554.SZ, 成交量-14683，成交价46.80\n",
      "2020-08-07, 卖出300632.SZ, 成交量-10835，成交价34.08\n",
      "2020-08-07, 卖出300312.SZ, 成交量-32088，成交价15.01\n",
      "2020-08-07, 卖出300517.SZ, 成交量-22913，成交价18.53\n",
      "2020-08-07, 买入300071.SZ, 成交量18927，成交价25.60\n",
      "2020-08-07, 买入300535.SZ, 成交量21551，成交价22.53\n",
      "2020-08-07, 买入300665.SZ, 成交量27115，成交价17.87\n",
      "2020-08-07, 买入300254.SZ, 成交量1639，成交价11.68\n",
      "2020-08-07, 买入300405.SZ, 成交量24740，成交价19.67\n",
      "2020-09-18, 卖出300071.SZ, 成交量-18927，成交价39.96\n",
      "2020-09-18, 卖出300254.SZ, 成交量-40660，成交价13.16\n",
      "2020-09-18, 卖出300535.SZ, 成交量-21551，成交价26.99\n",
      "2020-09-18, 卖出300405.SZ, 成交量-24740，成交价41.95\n",
      "2020-09-18, 买入300318.SZ, 成交量9528，成交价67.79\n",
      "2020-09-18, 买入300665.SZ, 成交量3727，成交价21.02\n",
      "2020-09-18, 买入300446.SZ, 成交量23474，成交价27.82\n",
      "2020-09-18, 买入300101.SZ, 成交量5009，成交价130.87\n",
      "2020-09-18, 买入300564.SZ, 成交量21381，成交价30.40\n",
      "2020-11-09, 卖出300564.SZ, 成交量-21381，成交价35.76\n",
      "2020-11-09, 卖出300665.SZ, 成交量-30842，成交价23.54\n",
      "2020-11-09, 卖出300318.SZ, 成交量-9528，成交价99.24\n",
      "2020-11-09, 买入300500.SZ, 成交量17871，成交价43.88\n",
      "2020-11-09, 买入300716.SZ, 成交量46088，成交价16.85\n",
      "2020-11-09, 卖出300446.SZ, 成交量-519，成交价33.44\n",
      "2020-11-09, 买入300750.SZ, 成交量2925，成交价268.80\n",
      "2020-11-09, 买入300101.SZ, 成交量797，成交价134.79\n",
      "2020-12-21, 卖出300500.SZ, 成交量-17871，成交价37.63\n",
      "2020-12-21, 卖出300750.SZ, 成交量-2925，成交价297.64\n",
      "2020-12-21, 买入300446.SZ, 成交量334，成交价30.94\n",
      "2020-12-21, 买入300085.SZ, 成交量3507，成交价206.41\n",
      "2020-12-21, 买入300665.SZ, 成交量38947，成交价18.45\n",
      "2020-12-21, 买入300716.SZ, 成交量6734，成交价13.73\n",
      "2020-12-21, 卖出300101.SZ, 成交量-244，成交价129.15\n",
      "2021-02-02, 卖出300665.SZ, 成交量-38947，成交价16.08\n",
      "2021-02-02, 卖出300101.SZ, 成交量-5562，成交价136.91\n",
      "2021-02-02, 卖出300085.SZ, 成交量-3507，成交价171.16\n",
      "2021-02-02, 卖出300446.SZ, 成交量-23289，成交价25.15\n",
      "2021-02-02, 买入300254.SZ, 成交量81169，成交价7.96\n",
      "2021-02-02, 买入300318.SZ, 成交量10495，成交价62.12\n",
      "2021-02-02, 买入300716.SZ, 成交量8986，成交价10.53\n",
      "2021-02-02, 买入300167.SZ, 成交量23941，成交价26.99\n",
      "2021-02-02, 买入300312.SZ, 成交量62194，成交价10.37\n",
      "2021-03-23, 卖出300716.SZ, 成交量-61808，成交价13.04\n",
      "2021-03-23, 卖出300167.SZ, 成交量-23941，成交价30.96\n",
      "2021-03-23, 卖出300312.SZ, 成交量-62194，成交价18.40\n",
      "2021-03-23, 买入300588.SZ, 成交量59942，成交价12.89\n",
      "2021-03-23, 买入300101.SZ, 成交量6015，成交价127.28\n",
      "2021-03-23, 买入300254.SZ, 成交量4719，成交价8.98\n",
      "2021-03-23, 买入300318.SZ, 成交量3984，成交价53.42\n",
      "2021-03-23, 买入300557.SZ, 成交量29439，成交价26.22\n",
      "2021-05-10, 卖出300101.SZ, 成交量-6015，成交价125.56\n",
      "2021-05-10, 卖出300254.SZ, 成交量-85888，成交价10.22\n",
      "2021-05-10, 卖出300588.SZ, 成交量-59942，成交价13.16\n",
      "2021-05-10, 卖出300318.SZ, 成交量-14479，成交价51.42\n",
      "2021-05-10, 卖出300557.SZ, 成交量-29439，成交价24.33\n",
      "2021-05-10, 买入300330.SZ, 成交量41324，成交价18.77\n",
      "2021-05-10, 买入300619.SZ, 成交量42257，成交价18.31\n",
      "2021-05-10, 买入300626.SZ, 成交量56256，成交价13.70\n",
      "2021-05-10, 买入300700.SZ, 成交量52500，成交价14.69\n",
      "2021-05-10, 买入300585.SZ, 成交量33026，成交价23.47\n",
      "2021-06-22, 卖出300619.SZ, 成交量-42257，成交价24.75\n",
      "2021-06-22, 卖出300585.SZ, 成交量-33026，成交价27.50\n",
      "2021-06-22, 卖出300626.SZ, 成交量-56256，成交价16.49\n",
      "2021-06-22, 卖出300330.SZ, 成交量-41324，成交价23.14\n",
      "2021-06-22, 买入300553.SZ, 成交量28390，成交价33.04\n",
      "2021-06-22, 买入300535.SZ, 成交量40031，成交价23.57\n",
      "2021-06-22, 买入300668.SZ, 成交量26536，成交价35.27\n",
      "2021-06-22, 买入300557.SZ, 成交量34117，成交价27.34\n",
      "2021-06-22, 买入300700.SZ, 成交量979，成交价17.61\n",
      "2021-08-03, 卖出300557.SZ, 成交量-34117，成交价28.57\n",
      "2021-08-03, 卖出300553.SZ, 成交量-28390，成交价37.50\n",
      "2021-08-03, 买入300668.SZ, 成交量2766，成交价34.33\n",
      "2021-08-03, 卖出300535.SZ, 成交量-2530，成交价26.59\n",
      "2021-08-03, 买入300318.SZ, 成交量13242，成交价75.33\n",
      "2021-08-03, 买入300700.SZ, 成交量210，成交价18.62\n",
      "2021-08-03, 买入300796.SZ, 成交量54591，成交价18.20\n",
      "2021-09-14, 卖出300796.SZ, 成交量-54591，成交价18.98\n",
      "2021-09-14, 卖出300318.SZ, 成交量-13242，成交价64.44\n",
      "2021-09-14, 卖出300668.SZ, 成交量-29302，成交价36.53\n",
      "2021-09-14, 买入300654.SZ, 成交量60701，成交价16.23\n",
      "2021-09-14, 卖出300535.SZ, 成交量-463，成交价26.54\n",
      "2021-09-14, 买入300059.SZ, 成交量488，成交价2032.26\n",
      "2021-09-14, 买入300750.SZ, 成交量1953，成交价509.15\n",
      "2021-09-14, 卖出300700.SZ, 成交量-484，成交价18.66\n",
      "2021-11-04, 卖出300535.SZ, 成交量-37038，成交价23.79\n",
      "2021-11-04, 卖出300750.SZ, 成交量-1953，成交价650.59\n",
      "2021-11-04, 卖出300654.SZ, 成交量-60701，成交价14.87\n",
      "2021-11-04, 卖出300059.SZ, 成交量-488，成交价1829.48\n",
      "2021-11-04, 买入300539.SZ, 成交量61026，成交价15.89\n",
      "2021-11-04, 买入300807.SZ, 成交量41892，成交价22.80\n",
      "2021-11-04, 买入300553.SZ, 成交量30861，成交价31.12\n",
      "2021-11-04, 买入300557.SZ, 成交量36088，成交价26.31\n",
      "2021-11-04, 买入300700.SZ, 成交量4191，成交价16.40\n",
      "2021-12-16, 卖出300539.SZ, 成交量-61026，成交价18.19\n",
      "2021-12-16, 卖出300807.SZ, 成交量-41892，成交价32.41\n",
      "2021-12-16, 卖出300557.SZ, 成交量-36088，成交价30.54\n",
      "2021-12-16, 卖出300553.SZ, 成交量-30861，成交价41.63\n",
      "2021-12-16, 买入300717.SZ, 成交量45330，成交价25.53\n",
      "2021-12-16, 买入300654.SZ, 成交量66744，成交价17.23\n",
      "2021-12-16, 买入300743.SZ, 成交量46727，成交价24.57\n",
      "2021-12-16, 买入300535.SZ, 成交量43485，成交价26.49\n",
      "2021-12-16, 买入300700.SZ, 成交量5870，成交价18.31\n",
      "2022-01-28, 卖出300654.SZ, 成交量-66744，成交价15.41\n",
      "2022-01-28, 卖出300700.SZ, 成交量-63266，成交价23.03\n",
      "2022-01-28, 卖出300743.SZ, 成交量-46727，成交价23.76\n",
      "2022-01-28, 卖出300535.SZ, 成交量-43485，成交价25.31\n",
      "2022-01-28, 卖出300717.SZ, 成交量-45330，成交价25.20\n",
      "2022-01-28, 买入300417.SZ, 成交量29436，成交价39.74\n",
      "2022-01-28, 买入300594.SZ, 成交量67090，成交价17.67\n",
      "2022-01-28, 买入300330.SZ, 成交量60176，成交价19.68\n",
      "2022-01-28, 买入300554.SZ, 成交量41796，成交价27.97\n",
      "2022-01-28, 买入300534.SZ, 成交量31596，成交价36.70\n",
      "2022-03-18, 卖出300534.SZ, 成交量-31596，成交价48.70\n",
      "2022-03-18, 卖出300330.SZ, 成交量-60176，成交价26.09\n",
      "2022-03-18, 卖出300554.SZ, 成交量-41796，成交价29.52\n",
      "2022-03-18, 买入300417.SZ, 成交量4093，成交价39.11\n",
      "2022-03-18, 买入300535.SZ, 成交量52430，成交价24.91\n",
      "2022-03-18, 买入300594.SZ, 成交量8178，成交价17.68\n",
      "2022-03-18, 买入300700.SZ, 成交量54427，成交价23.73\n",
      "2022-03-18, 买入300464.SZ, 成交量82882，成交价15.87\n",
      "2022-05-06, 卖出300417.SZ, 成交量-33529，成交价31.47\n",
      "2022-05-06, 卖出300535.SZ, 成交量-52430，成交价20.87\n",
      "2022-05-06, 卖出300700.SZ, 成交量-54427，成交价23.07\n",
      "2022-05-06, 卖出300464.SZ, 成交量-82882，成交价14.81\n",
      "2022-05-06, 买入300321.SZ, 成交量37534，成交价30.47\n",
      "2022-05-06, 买入300330.SZ, 成交量68724，成交价16.88\n",
      "2022-05-06, 买入300594.SZ, 成交量5452，成交价14.33\n",
      "2022-05-06, 买入300405.SZ, 成交量62085，成交价18.55\n",
      "2022-05-06, 买入300736.SZ, 成交量53628，成交价22.00\n",
      "2022-06-20, 卖出300405.SZ, 成交量-62085，成交价21.44\n",
      "2022-06-20, 卖出300330.SZ, 成交量-68724，成交价19.70\n",
      "2022-06-20, 买入300665.SZ, 成交量72548，成交价18.03\n",
      "2022-06-20, 买入300417.SZ, 成交量36046，成交价35.90\n",
      "2022-06-20, 卖出300594.SZ, 成交量-2354，成交价16.72\n",
      "2022-06-20, 买入300321.SZ, 成交量246，成交价34.85\n",
      "2022-06-20, 买入300736.SZ, 成交量250，成交价23.97\n",
      "2022-08-01, 卖出300594.SZ, 成交量-78366，成交价18.78\n",
      "2022-08-01, 卖出300665.SZ, 成交量-1161，成交价19.61\n",
      "2022-08-01, 卖出300417.SZ, 成交量-888，成交价40.15\n",
      "2022-08-01, 买入300779.SZ, 成交量94111，成交价15.00\n",
      "2022-08-01, 买入300321.SZ, 成交量737，成交价36.73\n",
      "2022-08-01, 买入300736.SZ, 成交量1254，成交价25.38\n",
      "2022-09-13, 卖出300736.SZ, 成交量-55132，成交价28.70\n",
      "2022-09-13, 卖出300779.SZ, 成交量-94111，成交价16.13\n",
      "2022-09-13, 买入300417.SZ, 成交量1556，成交价39.53\n",
      "2022-09-13, 买入300665.SZ, 成交量4575，成交价18.84\n",
      "2022-09-13, 买入300321.SZ, 成交量836，成交价36.67\n",
      "2022-09-13, 买入300158.SZ, 成交量44361，成交价32.85\n",
      "2022-09-13, 买入300330.SZ, 成交量108444，成交价13.20\n",
      "2022-11-01, 卖出300417.SZ, 成交量-36714，成交价38.32\n",
      "2022-11-01, 卖出300665.SZ, 成交量-75962，成交价17.96\n",
      "2022-11-01, 买入300321.SZ, 成交量1927，成交价32.47\n",
      "2022-11-01, 买入300594.SZ, 成交量84839，成交价15.75\n",
      "2022-11-01, 买入300750.SZ, 成交量3558，成交价378.57\n",
      "2022-11-01, 买入300330.SZ, 成交量7081，成交价11.49\n",
      "2022-11-01, 卖出300158.SZ, 成交量-1352，成交价31.26\n",
      "2022-12-13, 卖出300594.SZ, 成交量-84839，成交价20.85\n",
      "2022-12-13, 卖出300158.SZ, 成交量-43009，成交价60.11\n",
      "2022-12-13, 买入300521.SZ, 成交量90251，成交价18.90\n",
      "2022-12-13, 买入300321.SZ, 成交量7886，成交价34.74\n",
      "2022-12-13, 买入300330.SZ, 成交量16801，成交价12.94\n",
      "2022-12-13, 买入300750.SZ, 成交量537，成交价417.28\n",
      "2022-12-13, 买入300417.SZ, 成交量44185，成交价38.47\n",
      "2023-02-01, 卖出300521.SZ, 成交量-90251，成交价23.74\n",
      "2023-02-01, 卖出300750.SZ, 成交量-4095，成交价473.58\n",
      "2023-02-01, 卖出300330.SZ, 成交量-132326，成交价11.72\n",
      "2023-02-01, 买入300899.SZ, 成交量80932，成交价22.37\n",
      "2023-02-01, 买入300844.SZ, 成交量45906，成交价39.11\n",
      "2023-02-01, 买入300665.SZ, 成交量100538，成交价17.94\n",
      "2023-02-01, 买入300321.SZ, 成交量1846，成交价35.42\n",
      "2023-02-01, 买入300417.SZ, 成交量2428，成交价39.20\n",
      "最终资金: 10411862.46\n",
      "夏普比率: OrderedDict([('sharperatio', 0.8774175445393257)])\n",
      "回撤指标: AutoOrderedDict([('len', 0), ('drawdown', 0.0), ('moneydown', 0.0), ('max', AutoOrderedDict([('len', 202), ('drawdown', 30.480554236317083), ('moneydown', 1910729.8656616015)]))])\n"
     ]
    }
   ],
   "source": [
    "start=datetime(2018,1,2)\n",
    "end=datetime(2023,2,10)\n",
    "stock_daily_part=stock_daily[(stock_daily[\"date\"]>=start)&(stock_daily[\"date\"]<=end)].copy()\n",
    "result=huice_run_num(start,end,buy_date,sell_date,stock_daily_part,stock_list,my_strategy_date_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "414564d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24700841690603842"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y2,clf.predict(x2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b97e1797",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "663bd9db",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "219d56bb",
   "metadata": {},
   "source": [
    "automl 自动化机器学习\n",
    "\n",
    "https://cloud.tencent.com/developer/article/2069069"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b36f512a",
   "metadata": {},
   "source": []
  }
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